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ORCIDSrinivasan Parthasarathy 0001
Person information
- affiliation: Ohio State University, OH, USA
Other persons with the same name
- Srinivasan Parthasarathy 0002
![[0009-0005-8203-1242]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0005-8203-1242")
— IBM Watson Research Center (and 1 more)
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2020 – today
- 2024
[j53]Bo Peng, Srinivasan Parthasarathy, Xia Ning:
Intention enhanced mixed attentive model for session-based recommendation. Data Min. Knowl. Discov. 38(4): 2032-2061 (2024)- [j52]Goonmeet Bajaj, Valerie L. Shalin, Srinivasan Parthasarathy, Amit P. Sheth:
Grounding From an AI and Cognitive Science Lens. IEEE Intell. Syst. 39(2): 66-71 (2024) - [j51]Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning:
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation. ACM Trans. Knowl. Discov. Data 18(8): 207:1-207:24 (2024) - [c213]Wei-Han Chen, Xin Liu, Kannan Srinivasan, Srinivasan Parthasarathy:
FTP: Enabling Fast Beam-Training for Optimal mmWave Beamforming. INFOCOM 2024: 311-320 - [c212]Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath:
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. KDD 2024: 1348-1359 - [c211]Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy:
KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs). KDD 2024: 6712-6713 - [c210]Avishek Banerjee, Xingya Zhao, Vishnu Chhabra, Kannan Srinivasan, Srinivasan Parthasarathy:
HORCRUX: Accurate Cross Band Channel Prediction. MobiCom 2024: 1-15 - [i64]Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath:
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. CoRR abs/2402.06190 (2024) - [i63]Goonmeet Bajaj, Srinivasan Parthasarathy, Valerie L. Shalin, Amit P. Sheth:
Grounding from an AI and Cognitive Science Lens. CoRR abs/2402.13290 (2024) - [i62]Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs. CoRR abs/2404.00816 (2024) - [i61]Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, Srinivasan Parthasarathy, Manas Gaur:
REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs. CoRR abs/2405.02228 (2024) - [i60]M. Toslali, S. Qasim, Srinivasan Parthasarathy, Fábio Oliveira, H. Huang, Gianluca Stringhini, Z. Liu, Ayse K. Coskun:
An Online Probabilistic Distributed Tracing System. CoRR abs/2405.15645 (2024) - [i59]Pranav Maneriker, Aditya Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy:
Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. CoRR abs/2409.18332 (2024) - 2023
- [j50]Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE Trans. Knowl. Data Eng. 35(4): 4033-4046 (2023) - [c209]Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy:
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. ASONAM 2023: 245-252 - [c208]Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. EAAMO 2023: 11:1-11:10 - [c207]Vinícius Vitor dos Santos Dias, Samuel Ferraz, Aditya Vadlamani, Mahdi Erfanian, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy:
Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing. HiPC 2023: 224-233 - [c206]S. Qasim, Mert Toslali, Quentin Clark, Srinivasan Parthasarathy, Fábio Oliveira, A. Liu, Gianluca Stringhini, Ayse K. Coskun:
Poster Paper: Efficient Navigation of Cloud Performance with 'nuffTrace. IC2E 2023: 226-227 - [c205]Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract). ICDE 2023: 3873-3874 - [c204]Pranav Maneriker, Codi Burley, Srinivasan Parthasarathy:
Online Fairness Auditing through Iterative Refinement. KDD 2023: 1665-1676 - [c203]Wei-Han Chen, Xin Liu, Kannan Srinivasan, Srinivasan Parthasarathy:
Fast and Optimal Beam Alignment for Off-the-Shelf mmWave Devices. MobiWac 2023: 115-123 - [c202]Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
Efficient Fair Graph Representation Learning Using a Multi-level Framework. WWW (Companion Volume) 2023: 298-301 - [i58]Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy:
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. CoRR abs/2306.14357 (2023) - [i57]Ziqi Chen, Bo Peng, Srinivasan Parthasarathy, Xia Ning:
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models. CoRR abs/2308.11890 (2023) - [i56]Bo Peng, Srinivasan Parthasarathy, Xia Ning:
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation. CoRR abs/2309.10195 (2023) - [i55]Bo Peng, Ben Burns, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning:
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation. CoRR abs/2310.01612 (2023) - [i54]Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning:
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation. CoRR abs/2311.07742 (2023) - 2022
- [j49]Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy:
Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents. Appl. Netw. Sci. 7(1): 27 (2022) - [j48]Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran:
Scaling Graph Propagation Kernels for Predictive Learning. Frontiers Big Data 5: 616617 (2022) - [j47]Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy:
WebMILE: Democratizing Network Representation Learning at Scale. Proc. VLDB Endow. 15(12): 3718-3721 (2022) - [j46]Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec:
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. Proc. VLDB Endow. 16(4): 781-789 (2022) - [j45]Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 34(10): 4838-4853 (2022) - [j44]Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel:
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. Trans. Mach. Learn. Res. 2022 (2022) - [j43]Goonmeet Bajaj, Sean Current, Daniel Schmidt, Bortik Bandyopadhyay, Christopher W. Myers, Srinivasan Parthasarathy:
Knowledge Gaps: A Challenge for Agent-Based Automatic Task Completion. Top. Cogn. Sci. 14(4): 780-799 (2022) - [c201]Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Amit P. Sheth, Srinivasan Parthasarathy, Olivier Bodenreider:
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks. Insights@ACL 2022: 82-87 - [c200]Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification. EAAMO 2022: 3:1-3:14 - [c199]Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran:
Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. ICDM 2022: 358-367 - [c198]Vinh Nguyen, Hong Yung Yip, Goonmeet Bajaj, Thilini Wijesiriwardene, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus. WWW 2022: 1037-1046 - [i53]Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairMod: Fair Link Prediction and Recommendation via Graph Modification. CoRR abs/2201.11596 (2022) - [i52]Thilini Wijesiriwardene, Vinh Nguyen, Goonmeet Bajaj, Hong Yung Yip, Vishesh Javangula, Yuqing Mao, Kin Wah Fung, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus. CoRR abs/2204.12716 (2022) - [i51]Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec:
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. CoRR abs/2205.10666 (2022) - [i50]Bo Peng, Chang-Yu Tai, Srinivasan Parthasarathy, Xia Ning:
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation. CoRR abs/2206.01875 (2022) - [i49]Bo Peng, Srinivasan Parthasarathy, Xia Ning:
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation. CoRR abs/2209.07997 (2022) - [i48]Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning. CoRR abs/2211.09925 (2022) - 2021
- [j42]Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning:
A deep generative model for molecule optimization via one fragment modification. Nat. Mach. Intell. 3(12): 1040-1049 (2021) - [c197]Saket Gurukar, Srinivasan Parthasarathy, Rajiv Ramnath, Catherine A. Calder, Sobhan Moosavi:
LocationTrails: a federated approach to learning location embeddings. ASONAM 2021: 377-384 - [c196]Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Hai Huang, Ayse K. Coskun:
Iter8: Online Experimentation in the Cloud. SoCC 2021: 289-304 - [c195]Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy:
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. EMNLP (1) 2021: 6844-6857 - [c194]Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy:
DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding. HiPC 2021: 282-291 - [c193]Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy:
MILE: A Multi-Level Framework for Scalable Graph Embedding. ICWSM 2021: 361-372 - [c192]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Open Intent Extraction from Natural Language Interactions (Extended Abstract). IJCAI 2021: 4844-4848 - [c191]Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran:
Semi-Supervised Deep Learning for Multiplex Networks. KDD 2021: 1234-1244 - [c190]Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit P. Sheth:
Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. MedInfo 2021: 140-144 - [c189]Sadie L. Allen, Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Ayse K. Coskun:
Tritium: A Cross-layer Analytics System for Enhancing Microservice Rollouts in the Cloud. WOC@Middleware 2021: 19-24 - [c188]Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel:
1st International Workshop on Data Assessment and Readiness for AI. PAKDD (Workshops) 2021: 117-120 - [c187]Nikhita Vedula, Srinivasan Parthasarathy:
FACE-KEG: Fact Checking Explained using KnowledgE Graphs. WSDM 2021: 526-534 - [i47]Sobhan Moosavi, Pravar D. Mahajan, Srinivasan Parthasarathy, Colleen Saunders-Chukwu, Rajiv Ramnath:
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification. CoRR abs/2102.05843 (2021) - [i46]Usha Lokala, Francois R. Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth:
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. CoRR abs/2103.15764 (2021) - [i45]Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy:
StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. CoRR abs/2104.00764 (2021) - [i44]Moniba Keymanesh, Tanya Y. Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy:
Fairness-aware Summarization for Justified Decision-Making. CoRR abs/2107.06243 (2021) - [i43]Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus. CoRR abs/2109.13348 (2021) - [i42]Moniba Keymanesh, Micha Elsner, Srinivasan Parthasarathy:
Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach. CoRR abs/2109.14638 (2021) - [i41]Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran:
Semi-Supervised Deep Learning for Multiplex Networks. CoRR abs/2110.02038 (2021) - 2020
- [j41]Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran:
Hypergraph clustering by iteratively reweighted modularity maximization. Appl. Netw. Sci. 5(1): 52 (2020) - [j40]Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun:
Graph embedding on biomedical networks: methods, applications and evaluations. Bioinform. 36(4): 1241-1251 (2020) - [c186]Meghana Moorthy Bhat, Srinivasan Parthasarathy:
How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study. Insights 2020: 48-53 - [c185]Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy:
Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths. COLING 2020: 6871-6882 - [c184]Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy:
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. CVPR Workshops 2020: 1563-1566 - [c183]Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Ayse K. Coskun:
JACKPOT: Online Experimentation of Cloud Microservices. HotCloud 2020 - [c182]Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala:
Towards Quantifying the Distance between Opinions. ICWSM 2020: 229-239 - [c181]Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy:
EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services. IJCAI 2020: 3244-3250 - [c180]Gordon Euhyun Moon, J. Austin Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan:
ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. KDD 2020: 1758-1767 - [c179]Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran:
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. SDM 2020: 487-495 - [c178]Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran:
HPRA: Hyperedge Prediction using Resource Allocation. WebSci 2020: 135-143 - [c177]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Open Intent Extraction from Natural Language Interactions. WWW 2020: 2009-2020 - [e4]Manas Gaur, Alejandro Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit P. Sheth, Biplav Srivastava:
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), San Diego, California, USA, August 24, 2020. CEUR Workshop Proceedings 2657, CEUR-WS.org 2020 [contents] - [i40]Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala:
Towards Quantifying the Distance between Opinions. CoRR abs/2001.09879 (2020) - [i39]Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy:
Transfer Learning for Abstractive Summarization at Controllable Budgets. CoRR abs/2002.07845 (2020) - [i38]Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
HAM: Hybrid Associations Model with Pooling for Sequential Recommendation. CoRR abs/2002.11890 (2020) - [i37]Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation. CoRR abs/2004.01646 (2020) - [i36]Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy:
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. CoRR abs/2004.03755 (2020) - [i35]Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran:
HPRA: Hyperedge Prediction using Resource Allocation. CoRR abs/2006.11070 (2020) - [i34]Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel, Saumya Yashmohini Sahai, Ping Zhang, Srinivasan Parthasarathy:
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. CoRR abs/2007.02384 (2020) - [i33]Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning:
Molecule Optimization via Fragment-based Generative Models. CoRR abs/2012.04231 (2020)
2010 – 2019
- 2019
- [c176]Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy:
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. AAAI 2019: 265-272 - [c175]Jiankai Sun, Srinivasan Parthasarathy:
Symmetrization for Embedding Directed Graphs. AAAI 2019: 10043-10044 - [c174]Yu Wang, Bortik Bandyopadhyay, Vedang Patel, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy:
Spread Sampling and Its Applications on Graphs. COMPLEX NETWORKS (1) 2019: 128-140 - [c173]Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran:
A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering. COMPLEX NETWORKS (1) 2019: 286-297 - [c172]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath:
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. SIGSPATIAL/GIS 2019: 33-42 - [c171]Donghe Kang, Vedang Patel, Ashwati Nair, Spyros Blanas, Yang Wang, Srinivasan Parthasarathy:
Henosis: workload-driven small array consolidation and placement for HDF5 applications on heterogeneous data stores. ICS 2019: 392-402 - [c170]Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath:
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. KDD 2019: 2905-2913 - [c169]Arjun Bakshi, Yifan Mao, Kannan Srinivasan, Srinivasan Parthasarathy:
Fast and Efficient Cross Band Channel Prediction Using Machine Learning. MobiCom 2019: 37:1-37:16 - [c168]Pranav Maneriker, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan J. Kubatko, Desheng Liu, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy:
A Pipeline for Disaster Response and Relief Coordination. SIGIR 2019: 1337-1340 - [c167]Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy:
Fractal: A General-Purpose Graph Pattern Mining System. SIGMOD Conference 2019: 1357-1374 - [c166]Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy:
BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. WWW 2019: 1897-1908 - [i32]Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath:
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. CoRR abs/1902.06792 (2019) - [i31]Gordon Euhyun Moon, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan:
PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization. CoRR abs/1904.07935 (2019) - [i30]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Towards Open Intent Discovery for Conversational Text. CoRR abs/1904.08524 (2019) - [i29]Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy:
Network Representation Learning: Consolidation and Renewed Bearing. CoRR abs/1905.00987 (2019) - [i28]Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun:
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations. CoRR abs/1906.05017 (2019) - [i27]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Rajiv Ramnath:
A Countrywide Traffic Accident Dataset. CoRR abs/1906.05409 (2019) - [i26]Bortik Bandyopadhyay, Xiang Deng, Goonmeet Bajaj, Huan Sun, Srinivasan Parthasarathy:
Automatic Table completion using Knowledge Base. CoRR abs/1909.09565 (2019) - [i25]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath:
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. CoRR abs/1909.09638 (2019) - [i24]Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy:
Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods. CoRR abs/1911.06359 (2019) - [i23]Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy:
An End-to-End Framework for Cold Question Routing in Community Question Answering Services. CoRR abs/1911.11017 (2019) - 2018
- [j39]Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy:
ColdRoute: effective routing of cold questions in stack exchange sites. Data Min. Knowl. Discov. 32(5): 1339-1367 (2018) - [j38]Fernando Mourão, Leonardo Rocha, Felipe Viegas, Thiago Salles, Marcos André Gonçalves, Srinivasan Parthasarathy, Wagner Meira Jr.:
NetClass: A network-based relational model for document classification. Inf. Sci. 469: 60-78 (2018) - [j37]Jiongqian Liang, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, Srinivasan Parthasarathy:
Prioritized Relationship Analysis in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 12(3): 29:1-29:27 (2018) - [c165]Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy:
D-record: Disaster Response and Relief Coordination Pipeline. ARIC@SIGSPATIAL 2018: 13-16 - [c164]Changwan Hong, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Jinsung Kim, Süreyya Emre Kurt, Israt Nisa, Shivani Sabhlok, Ümit V. Çatalyürek, Srinivasan Parthasarathy, P. Sadayappan:
Efficient sparse-matrix multi-vector product on GPUs. HPDC 2018: 66-79 - [c163]Donghe Kang, Vedang Patel, Kalyan Khandrika, Spyros Blanas, Yang Wang, Srinivasan Parthasarathy:
Characterizing I/O optimization opportunities for array-centric applications on HDFS. HPEC 2018: 1-2 - [c162]Gordon Euhyun Moon, Israt Nisa, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Srinivasan Parthasarathy, P. Sadayappan:
Parallel Latent Dirichlet Allocation on GPUs. ICCS (2) 2018: 259-272 - [c161]Arjun Bakshi, Srinivasan Parthasarathy, Kannan Srinivasan:
Semi-Supervised Community Detection Using Structure and Size. ICDM 2018: 869-874 - [c160]Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy:
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. ICWSM 2018: 375-384 - [c159]Jiongqian Liang, Peter Jacobs, Jiankai Sun, Srinivasan Parthasarathy:
Semi-supervised Embedding in Attributed Networks with Outliers. SDM 2018: 153-161 - [c158]Nikhita Vedula, Patrick K. Nicholson, Deepak Ajwani, Sourav Dutta, Alessandra Sala, Srinivasan Parthasarathy:
Enriching Taxonomies With Functional Domain Knowledge. SIGIR 2018: 745-754 - [c157]Jiongqian Liang, Peter Jacobs, Srinivasan Parthasarathy:
Human-Guided Flood Mapping: From Experts to the Crowd. WWW (Companion Volume) 2018: 291-298 - [i22]Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy:
MILE: A Multi-Level Framework for Scalable Graph Embedding. CoRR abs/1802.09612 (2018) - [i21]Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy:
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. CoRR abs/1804.00109 (2018) - [i20]Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy:
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites. CoRR abs/1807.00462 (2018) - [i19]Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy:
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. CoRR abs/1811.00839 (2018) - [i18]Jiankai Sun, Srinivasan Parthasarathy:
Symmetrization for Embedding Directed Graphs. CoRR abs/1811.12164 (2018) - [i17]Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran:
Hypergraph Clustering: A Modularity Maximization Approach. CoRR abs/1812.10869 (2018) - 2017
- [c156]Srinivasan Parthasarathy, David Sivakoff, Minghao Tian, Yusu Wang:
A Quest to Unravel the Metric Structure Behind Perturbed Networks. SoCG 2017: 53:1-53:16 - [c155]Nikhita Vedula, Srinivasan Parthasarathy:
Emotional and Linguistic Cues of Depression from Social Media. DH 2017: 127-136 - [c154]Yang Zhang, Yusu Wang, Srinivasan Parthasarathy:
Analyzing and Visualizing Scalar Fields on Graphs. ICDE 2017: 215-218 - [c153]Pratik Vinay Gupte, Balaraman Ravindran, Srinivasan Parthasarathy:
Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy. ICDE 2017: 771-782 - [c152]Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy:
Multimodal Content Analysis for Effective Advertisements on YouTube. ICDM 2017: 1123-1128 - [c151]Aniket Chakrabarti, Srinivasan Parthasarathy, Christopher Stewart:
A Pareto Framework for Data Analytics on Heterogeneous Systems: Implications for Green Energy Usage and Performance. ICPP 2017: 533-542 - [c150]Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy:
Fast Change Point Detection on Dynamic Social Networks. IJCAI 2017: 2992-2998 - [c149]Yang Zhang, Yusu Wang, Srinivasan Parthasarathy:
Visualizing Attributed Graphs via Terrain Metaphor. KDD 2017: 1325-1334 - [c148]Anirban Roychowdhury, Srinivasan Parthasarathy:
Adaptive Bayesian Sampling with Monte Carlo EM. NIPS 2017: 1256-1266 - [c147]Nikhita Vedula, Srinivasan Parthasarathy, Valerie L. Shalin:
Predicting Trust Relations Within a Social Network: A Case Study on Emergency Response. WebSci 2017: 53-62 - [c146]Jiankai Sun, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, Srinivasan Parthasarathy:
Breaking Cycles In Noisy Hierarchies. WebSci 2017: 151-160 - [c145]Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy:
Hierarchical Change Point Detection on Dynamic Networks. WebSci 2017: 171-179 - [r4]Keith Marsolo, Michael D. Twa, Mark A. Bullimore, Srinivasan Parthasarathy:
Biomedical Data Mining, Spatial. Encyclopedia of GIS 2017: 127-135 - [r3]Hui Yang, Srinivasan Parthasarathy:
Patterns in Spatiotemporal Data. Encyclopedia of GIS 2017: 1560-1564 - [i16]Yang Zhang, Yusu Wang, Srinivasan Parthasarathy:
Analyzing and Visualizing Scalar Fields on Graphs. CoRR abs/1702.03825 (2017) - [i15]Srinivasan Parthasarathy, David Sivakoff, Minghao Tian, Yusu Wang:
A quest to unravel the metric structure behind perturbed networks. CoRR abs/1703.05475 (2017) - [i14]Jiongqian Liang, Peter Jacobs, Srinivasan Parthasarathy:
SEANO: Semi-supervised Embedding in Attributed Networks with Outliers. CoRR abs/1703.08100 (2017) - [i13]Anirban Roychowdhury, Srinivasan Parthasarathy:
Accelerated Stochastic Quasi-Newton Optimization on Riemann Manifolds. CoRR abs/1704.01700 (2017) - [i12]Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy:
Fast Change Point Detection on Dynamic Social Networks. CoRR abs/1705.07325 (2017) - [i11]Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy:
Hierarchical Change Point Detection on Dynamic Networks. CoRR abs/1706.02186 (2017) - [i10]Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy:
Multimodal Content Analysis for Effective Advertisements on YouTube. CoRR abs/1709.03946 (2017) - [i9]Anirban Roychowdhury, Srinivasan Parthasarathy:
Adaptive Bayesian Sampling with Monte Carlo EM. CoRR abs/1711.02159 (2017) - 2016
- [c144]Bortik Bandyopadhyay, David Fuhry, Aniket Chakrabarti, Srinivasan Parthasarathy:
Topological Graph Sketching for Incremental and Scalable Analytics. CIKM 2016: 1231-1240 - [c143]Jiongqian Liang, Srinivasan Parthasarathy:
Robust Contextual Outlier Detection: Where Context Meets Sparsity. CIKM 2016: 2167-2172 - [c142]Georgios Tziantzioulis, Ali Murat Gok, S. M. Faisal, Nikolaos Hardavellas, Seda Ogrenci Memik, Srinivasan Parthasarathy:
Lazy Pipelines: Enhancing quality in approximate computing. DATE 2016: 1381-1386 - [c141]Leonardo Rocha, Fernando Mourão, Ramon Vieira, Alan Neves, Dárlinton B. F. Carvalho, Bortik Bandyopadhyay, Srinivasan Parthasarathy, Renato Ferreira:
Connecting Opinions to Opinion-Leaders: A Case Study on Brazilian Political Protests. DSAA 2016: 716-725 - [c140]Jiongqian Liang, David Fuhry, David Maung, Alexandra Borstad, Roger Crawfis, Lynne V. Gauthier, Arnab Nandi, Srinivasan Parthasarathy:
Data Analytics Framework for A Game-based Rehabilitation System. Digital Health 2016: 67-76 - [c139]Leonardo Rocha, Fernando Mourão, Guilherme Andrade, Renato Ferreira, Srinivasan Parthasarathy, Danilo Melo, Sávyo Toledo, Aniket Chakrabarti:
D-STHARk: Evaluating Dynamic Scheduling of Tasks in Hybrid Simulated Architectures. ICCS 2016: 428-438 - [c138]Danilo Melo, Sávyo Toledo, Fernando Mourão, Rafael Sachetto Oliveira, Guilherme Andrade, Renato Ferreira, Srinivasan Parthasarathy, Leonardo Rocha:
Hierarchical Density-Based Clustering based on GPU Accelerated Data Indexing Strategy. ICCS 2016: 951-961 - [c137]Anirban Roychowdhury, Brian Kulis, Srinivasan Parthasarathy:
Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics. ICML 2016: 2673-2681 - [c136]Aniket Chakrabarti, Srinivasan Parthasarathy, Christopher Stewart:
Green- and heterogeneity-aware partitioning for data analytics. INFOCOM Workshops 2016: 366-371 - [c135]Aniket Chakrabarti, Bortik Bandyopadhyay, Srinivasan Parthasarathy:
Improving Locality Sensitive Hashing Based Similarity Search and Estimation for Kernels. ECML/PKDD (2) 2016: 641-656 - [c134]Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang:
Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. SDM 2016: 18-26 - [c133]Jiongqian Liang, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, Srinivasan Parthasarathy:
What Links Alice and Bob?: Matching and Ranking Semantic Patterns in Heterogeneous Networks. WWW 2016: 879-889 - [i8]Jiongqian Liang, Srinivasan Parthasarathy:
Robust Contextual Outlier Detection: Where Context Meets Sparsity. CoRR abs/1607.08329 (2016) - 2015
- [j36]Sarvenaz Choobdar, Pedro Manuel Pinto Ribeiro, Srinivasan Parthasarathy, Fernando M. A. Silva:
Dynamic inference of social roles in information cascades. Data Min. Knowl. Discov. 29(5): 1152-1177 (2015) - [j35]Aniket Chakrabarti, Venu Satuluri, Atreya Srivathsan, Srinivasan Parthasarathy:
A Bayesian Perspective on Locality Sensitive Hashing with Extensions for Kernel Methods. ACM Trans. Knowl. Discov. Data 10(2): 19:1-19:32 (2015) - [c132]S. M. Faisal, Georgios Tziantzioulis, Ali Murat Gok, Nikolaos Hardavellas, Seda Ogrenci Memik, Srinivasan Parthasarathy:
Edge importance identification for energy efficient graph processing. IEEE BigData 2015: 347-354 - [c131]Georgios Tziantzioulis, Ali Murat Gok, S. M. Faisal, Nikolaos Hardavellas, Seda Ogrenci Memik, Srinivasan Parthasarathy:
b-HiVE: a bit-level history-based error model with value correlation for voltage-scaled integer and floating point units. DAC 2015: 105:1-105:6 - [c130]Arnab Nandi, Ziqi Huang, Man Cao, Micha Elsner, Lilong Jiang, Srinivasan Parthasarathy, Ramiya Venkatachalam:
Interactive Tweaking of Text Analytics Dashboards. DNIS 2015: 122-132 - [c129]Gregory Buehrer, Roberto L. de Oliveira Jr., David Fuhry, Srinivasan Parthasarathy:
Towards a parameter-free and parallel itemset mining algorithm in linearithmic time. ICDE 2015: 1071-1082 - [c128]Naser Sedaghati, Te Mu, Louis-Noël Pouchet, Srinivasan Parthasarathy, P. Sadayappan:
Automatic Selection of Sparse Matrix Representation on GPUs. ICS 2015: 99-108 - [c127]Aniket Chakrabarti, Srinivasan Parthasarathy:
Sequential Hypothesis Tests for Adaptive Locality Sensitive Hashing. WWW 2015: 162-172 - [c126]Xiaotong Liu, Srinivasan Parthasarathy, Han-Wei Shen, Yifan Hu:
GalaxyExplorer: Influence-Driven Visual Exploration of Context-Specific Social Media Interactions. WWW (Companion Volume) 2015: 215-218 - 2014
- [j34]Quoc Trung Tran, Chee Yong Chan, Srinivasan Parthasarathy:
Query reverse engineering. VLDB J. 23(5): 721-746 (2014) - [c125]S. M. Faisal, Srinivasan Parthasarathy, P. Sadayappan:
Global graphs: A middleware for large scale graph processing. IEEE BigData 2014: 33-40 - [c124]Yu-Keng Shih, Sungmin Kim, Yiye Ruan, Jinxing Cheng, Rohit Kumar, Tao Shi, Srinivasan Parthasarathy:
Component Detection in Directed Networks. CIKM 2014: 1729-1738 - [c123]Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy:
One, Two, Hash! Counting Hash Tables for Flash Devices. CODS 2014: 1-10 - [c122]Yiye Ruan, Srinivasan Parthasarathy:
Simultaneous detection of communities and roles from large networks. COSN 2014: 203-214 - [c121]Qingpeng Niu, Pai-Wei Lai, S. M. Faisal, Srinivasan Parthasarathy, P. Sadayappan:
A fast implementation of MLR-MCL algorithm on multi-core processors. HiPC 2014: 1-10 - [c120]Hemant Purohit, Yiye Ruan, David Fuhry, Srinivasan Parthasarathy, Amit P. Sheth:
On Understanding the Divergence of Online Social Group Discussion. ICWSM 2014 - [c119]Arash Ashari, Naser Sedaghati, John Eisenlohr, Srinivasan Parthasarathy, P. Sadayappan:
Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications. SC 2014: 781-792 - [c118]Roberto Lourenço de Oliveira Jr., Adriano Veloso, Adriano C. M. Pereira, Wagner Meira Jr., Renato Ferreira, Srinivasan Parthasarathy:
Economically-efficient sentiment stream analysis. SIGIR 2014: 637-646 - [e3]Mohammed Javeed Zaki, Zoran Obradovic, Pang-Ning Tan, Arindam Banerjee, Chandrika Kamath, Srinivasan Parthasarathy:
Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014. SIAM 2014, ISBN 978-1-61197-344-0 [contents] - [i7]Aniket Chakrabarti, Srinivasan Parthasarathy:
Sequential Hypothesis Tests for Adaptive Locality Sensitive Hashing. CoRR abs/1412.3103 (2014) - 2013
- [j33]Xintian Yang, Yiye Ruan, Srinivasan Parthasarathy, Amol Ghoting:
Summarization via Pattern Utility and Ranking: A Novel Framework for Social Media Data Analytics. IEEE Data Eng. Bull. 36(3): 67-76 (2013) - [j32]David Fuhry, Yang Zhang, Venu Satuluri, Arnab Nandi, Srinivasan Parthasarathy:
PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data. Proc. VLDB Endow. 6(12): 1318-1321 (2013) - [c117]Yu-Keng Shih, Srinivasan Parthasarathy:
Identifying protein complexes in AP-MS data with negative evidence via soft Markov clustering. BCB 2013: 440 - [c116]Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy:
Hash in a flash: Hash tables for flash devices. IEEE BigData 2013: 7-14 - [c115]Ye Wang, Srinivasan Parthasarathy, P. Sadayappan:
Stratification driven placement of complex data: A framework for distributed data analytics. ICDE 2013: 709-720 - [c114]Ye Wang, Ahmed Metwally, Srinivasan Parthasarathy:
Scalable all-pairs similarity search in metric spaces. KDD 2013: 829-837 - [c113]Yiye Ruan, David Fuhry, Srinivasan Parthasarathy:
Efficient community detection in large networks using content and links. WWW 2013: 1089-1098 - [p5]Srinivasan Parthasarathy, S. M. Faisal:
Network Clustering. Data Clustering: Algorithms and Applications 2013: 415-456 - 2012
- [j31]Yu-Keng Shih, Srinivasan Parthasarathy:
A single source k-shortest paths algorithm to infer regulatory pathways in a gene network. Bioinform. 28(12): 49-58 (2012) - [j30]Yu-Keng Shih, Srinivasan Parthasarathy:
Identifying functional modules in interaction networks through overlapping Markov clustering. Bioinform. 28(18): 473-479 (2012) - [j29]Yu-Keng Shih, Srinivasan Parthasarathy:
Scalable global alignment for multiple biological networks. BMC Bioinform. 13(S-3): S11 (2012) - [j28]Venu Satuluri, Srinivasan Parthasarathy:
Bayesian Locality Sensitive Hashing for Fast Similarity Search. Proc. VLDB Endow. 5(5): 430-441 (2012) - [c112]Yang Zhang, Srinivasan Parthasarathy:
Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks. ICDE 2012: 1049-1060 - [c111]Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan Parthasarathy:
A framework for summarizing and analyzing twitter feeds. KDD 2012: 370-378 - [c110]Tyler Clemons, Srinivasan Parthasarathy, P. Sadayappan:
GADBMS: A Framework for Scalable Array Analytics. SC Companion 2012: 1322-1325 - [i6]Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy:
Hash in a Flash: Hash Tables for Solid State Devices. CoRR abs/1211.4521 (2012) - [i5]Hemant Purohit, Yiye Ruan, David Fuhry, Srinivasan Parthasarathy, Amit P. Sheth:
On the Role of Social Identity and Cohesion in Characterizing Online Social Communities. CoRR abs/1212.0141 (2012) - [i4]Yiye Ruan, David Fuhry, Srinivasan Parthasarathy:
Efficient Community Detection in Large Networks using Content and Links. CoRR abs/1212.0146 (2012) - 2011
- [j27]Xintian Yang, Srinivasan Parthasarathy, P. Sadayappan:
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining. Proc. VLDB Endow. 4(4): 231-242 (2011) - [c109]Yu-Keng Shih, Srinivasan Parthasarathy:
Scalable multiple global network alignment for biological data. BCB 2011: 96-105 - [c108]Venu Satuluri, Srinivasan Parthasarathy:
Symmetrizations for clustering directed graphs. EDBT 2011: 343-354 - [c107]Ye Wang, Srinivasan Parthasarathy, Shirish Tatikonda:
Locality Sensitive Outlier Detection: A ranking driven approach. ICDE 2011: 410-421 - [c106]Venu Satuluri, Srinivasan Parthasarathy, Yiye Ruan:
Local graph sparsification for scalable clustering. SIGMOD Conference 2011: 721-732 - [p4]Srinivasan Parthasarathy, Yiye Ruan, Venu Satuluri:
Community Discovery in Social Networks: Applications, Methods and Emerging Trends. Social Network Data Analytics 2011: 79-113 - [i3]Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy Sadayappan:
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining. CoRR abs/1103.2405 (2011) - [i2]Venu Satuluri, Srinivasan Parthasarathy:
Bayesian Locality Sensitive Hashing for Fast Similarity Search. CoRR abs/1110.1328 (2011) - [i1]Sourya Roy, Tyler Clemons, S. M. Faisal, Ke Liu, Nikos Hardavellas, Srinivasan Parthasarathy:
Elastic Fidelity: Trading-off Computational Accuracy for Energy Reduction. CoRR abs/1111.4279 (2011) - 2010
- [j26]Gustavo Henrique Orair, Carlos H. C. Teixeira, Ye Wang, Wagner Meira Jr., Srinivasan Parthasarathy:
Distance-Based Outlier Detection: Consolidation and Renewed Bearing. Proc. VLDB Endow. 3(2): 1469-1480 (2010) - [c105]Venu Satuluri, Srinivasan Parthasarathy, Duygu Ucar:
Markov clustering of protein interaction networks with improved balance and scalability. BCB 2010: 247-256 - [c104]Dhaval Patel, Wynne Hsu, Mong-Li Lee, Srinivasan Parthasarathy:
Lag Patterns in Time Series Databases. DEXA (2) 2010: 209-224 - [c103]Rizos Sakellariou, Salvatore Orlando, Josep Lluís Larriba-Pey, Srinivasan Parthasarathy, Demetrios Zeinalipour-Yazti:
Parallel and Distributed Data Management. Euro-Par (1) 2010: 316 - [c102]Shirish Tatikonda, Srinivasan Parthasarathy:
Hashing tree-structured data: Methods and applications. ICDE 2010: 429-440 - [c101]Sriganesh Srihari, Shruti Chandrashekar, Srinivasan Parthasarathy:
A Framework for SQL-Based Mining of Large Graphs on Relational Databases. PAKDD (2) 2010: 160-167 - [c100]Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda:
A distributed placement service for graph-structured and tree-structured data. PPoPP 2010: 355-356 - [p3]Srinivasan Parthasarathy, Shirish Tatikonda, Duygu Ucar:
A Survey of Graph Mining Techniques for Biological Datasets. Managing and Mining Graph Data 2010: 547-580 - [e2]P. Sreenivasa Kumar, Srinivasan Parthasarathy, Shantanu Godbole:
Proceedings of the 16th International Conference on Management of Data, 2010, Nagpur, India. Allied Publishers 2010 [contents]
2000 – 2009
- 2009
- [j25]Duygu Ucar, Andreas Beyer, Srinivasan Parthasarathy, Christopher T. Workman:
Predicting functionality of protein-DNA interactions by integrating diverse evidence. Bioinform. 25(12) (2009) - [j24]Beng Chin Ooi, Srinivasan Parthasarathy:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 32(1): 2 (2009) - [j23]Zhenjie Zhang, Beng Chin Ooi, Srinivasan Parthasarathy, Anthony K. H. Tung:
Similarity Search on Bregman Divergence: Towards Non-Metric Indexing. Proc. VLDB Endow. 2(1): 13-24 (2009) - [j22]Shirish Tatikonda, Srinivasan Parthasarathy:
Mining Tree-Structured Data on Multicore Systems. Proc. VLDB Endow. 2(1): 694-705 (2009) - [j21]Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar:
An event-based framework for characterizing the evolutionary behavior of interaction graphs. ACM Trans. Knowl. Discov. Data 3(4): 16:1-16:36 (2009) - [c99]Duygu Ucar, Fatih Altiparmak, Hakan Ferhatosmanoglu, Srinivasan Parthasarathy:
Mutual Information Based Extrinsic Similarity for Microarray Analysis. BICoB 2009: 424-436 - [c98]Sitaram Asur, Srinivasan Parthasarathy:
A viewpoint-based approach for interaction graph analysis. KDD 2009: 79-88 - [c97]Mahashweta Das, Srinivasan Parthasarathy:
Anomaly detection and spatio-temporal analysis of global climate system. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 142-150 - [c96]Venu Satuluri, Srinivasan Parthasarathy:
Scalable graph clustering using stochastic flows: applications to community discovery. KDD 2009: 737-746 - [c95]Quoc Trung Tran, Chee-Yong Chan, Srinivasan Parthasarathy:
Query by output. SIGMOD Conference 2009: 535-548 - 2008
- [j20]Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey:
Fast mining of distance-based outliers in high-dimensional datasets. Data Min. Knowl. Discov. 16(3): 349-364 (2008) - [j19]Keith Marsolo, Srinivasan Parthasarathy:
On the use of structure and sequence-based features for protein classification and retrieval. Knowl. Inf. Syst. 14(1): 59-80 (2008) - [j18]Srinivasan Parthasarathy, Bing Liu:
Guest editorial. Stat. Anal. Data Min. 1(1): 4-5 (2008) - [j17]Mohammed Javeed Zaki, Naren Ramakrishnan, Srinivasan Parthasarathy:
Biological data mining. Sci. Program. 16(1): 3 (2008) - [c94]Gregory Buehrer, Srinivasan Parthasarathy, Matthew Goyder:
Data mining on the cell broadband engine. ICS 2008: 26-35 - [c93]Xintian Yang, Sitaram Asur, Srinivasan Parthasarathy, Sameep Mehta:
A visual-analytic toolkit for dynamic interaction graphs. KDD 2008: 1016-1024 - [c92]Shirish Tatikonda, Srinivasan Parthasarathy:
An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures. PPoPP 2008: 263-264 - [c91]D. Brian Larkins, James Dinan, Sriram Krishnamoorthy, Srinivasan Parthasarathy, Atanas Rountev, P. Sadayappan:
Global trees: a framework for linked data structures on distributed memory parallel systems. SC 2008: 57 - [c90]Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, Anthony K. H. Tung:
CSV: visualizing and mining cohesive subgraphs. SIGMOD Conference 2008: 445-458 - [p2]Srinivasan Parthasarathy, Shirish Tatikonda, Gregory Buehrer, Amol Ghoting:
Architecture Conscious Data Mining. Next Generation of Data Mining 2008 - [r2]Keith Marsolo, Michael D. Twa, Mark Bullimore, Srinivasan Parthasarathy:
Biomedical Data Mining, Spatial. Encyclopedia of GIS 2008: 57-63 - [r1]Hui Yang, Srinivasan Parthasarathy:
Patterns in Spatio-temporal Data. Encyclopedia of GIS 2008: 851-854 - 2007
- [j16]Hui Yang, Srinivasan Parthasarathy, Duygu Ucar:
A spatio-temporal mining approach towards summarizing and analyzing protein folding trajectories. Algorithms Mol. Biol. 2 (2007) - [j15]Duygu Ucar, Isaac Neuhaus, Petra Ross-MacDonald, Charles Tilford, Srinivasan Parthasarathy, Nathan O. Siemers, Rui-Ru Ji:
Construction of a reference gene association network from multiple profiling data: application to data analysis. Bioinform. 23(20): 2716-2724 (2007) - [j14]Keith Marsolo, Michael D. Twa, Mark Bullimore, Srinivasan Parthasarathy:
Spatial Modeling and Classification of Corneal Shape. IEEE Trans. Inf. Technol. Biomed. 11(2): 203-212 (2007) - [j13]Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey:
Cache-conscious frequent pattern mining on modern and emerging processors. VLDB J. 16(1): 77-96 (2007) - [c89]Chao Wang, Venu Satuluri, Srinivasan Parthasarathy:
Local Probabilistic Models for Link Prediction. ICDM 2007: 322-331 - [c88]Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shirish Tatikonda, Xi Zhang, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz:
Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms. IPDPS 2007: 1-6 - [c87]Sitaram Asur, Duygu Ucar, Srinivasan Parthasarathy:
An ensemble framework for clustering protein-protein interaction networks. ISMB/ECCB (Supplement of Bioinformatics) 2007: 29-40 - [c86]Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar:
An event-based framework for characterizing the evolutionary behavior of interaction graphs. KDD 2007: 913-921 - [c85]Srinivasan Parthasarathy:
Data mining at the crossroads: successes, failures and learning from them. KDD 2007: 1053-1055 - [c84]Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda, Tahsin M. Kurç, Joel H. Saltz:
Toward terabyte pattern mining: an architecture-conscious solution. PPoPP 2007: 2-12 - [c83]Shirish Tatikonda, Srinivasan Parthasarathy, Matthew Goyder:
LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying. VLDB 2007: 63-74 - [p1]Srinivasan Parthasarathy, Amol Ghoting, Matthew Eric Otey:
A Survey of Distributed Mining of Data Streams. Data Streams - Models and Algorithms 2007: 289-307 - 2006
- [j12]Matthew Eric Otey, Amol Ghoting, Srinivasan Parthasarathy:
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets. Data Min. Knowl. Discov. 12(2-3): 203-228 (2006) - [j11]Tamer Nadeem, Srinivasan Parthasarathy:
Mobility control for throughput maximization in ad hoc networks. Wirel. Commun. Mob. Comput. 6: 951-967 (2006) - [c82]Gregory Buehrer, Yen-Kuang Chen, Srinivasan Parthasarathy, Anthony D. Nguyen, Amol Ghoting, Daehyun Kim:
Efficient pattern mining on shared memory systems: implications for chip multiprocessor architectures. Memory System Performance and Correctness 2006: 31-40 - [c81]Keith Marsolo, Srinivasan Parthasarathy, Kotagiri Ramamohanarao:
Structure-based querying of proteins using wavelets. CIKM 2006: 24-33 - [c80]Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç:
TRIPS and TIDES: new algorithms for tree mining. CIKM 2006: 455-464 - [c79]Srinivasan Parthasarathy, Sameep Mehta, S. Srinivasan:
Robust periodicity detection algorithms. CIKM 2006: 874-875 - [c78]Srinivasan Parthasarathy:
High Performance Data Mining: Consolidation and Renewed Bearing. COMAD 2006: 248 - [c77]Chao Wang, Srinivasan Parthasarathy, Ruoming Jin:
A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries. EDBT 2006: 533-551 - [c76]Hui Yang, Srinivasan Parthasarathy:
Mining Spatial and Spatio-Temporal Patterns in Scientific Data. ICDE Workshops 2006: 146 - [c75]Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kuang Chen:
Adaptive Parallel Graph Mining for CMP Architectures. ICDM 2006: 97-106 - [c74]Keith Marsolo, Srinivasan Parthasarathy:
On the Use of Structure and Sequence-Based Features for Protein Classification and Retrieval. ICDM 2006: 394-403 - [c73]Sameep Mehta, Srinivasan Parthasarathy, Raghu Machiraju:
On Trajectory Representation for Scientific Features. ICDM 2006: 997-1001 - [c72]Chao Wang, Srinivasan Parthasarathy:
Learning Approximate MRFs from Large Transactional Data. SNA@ICML 2006: 182-185 - [c71]Bryan Mehta, Srinivasan Parthasarathy, Raghu Machiraju:
Visual Exploration of Spatio-temporal Relationships for Scientific Data. IEEE VAST 2006: 11-18 - [c70]Gregory Buehrer, Amol Ghoting, Xi Zhang, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz:
I/O conscious algorithm design and systems support for data analysis on emerging architectures. IPDPS 2006 - [c69]Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Srinivasan Parthasarathy:
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications. IPDPS 2006 - [c68]Sitaram Asur, Pichai Raman, Matthew Eric Otey, Srinivasan Parthasarathy:
A model-based approach for mining membrane protein crystallization trials. ISMB (Supplement of Bioinformatics) 2006: 40-48 - [c67]Gregory Buehrer, Srinivasan Parthasarathy, Amol Ghoting:
Out-of-core frequent pattern mining on a commodity PC. KDD 2006: 86-95 - [c66]Chao Wang, Srinivasan Parthasarathy:
Summarizing itemset patterns using probabilistic models. KDD 2006: 730-735 - [c65]Duygu Ucar, Sitaram Asur, Ümit V. Çatalyürek, Srinivasan Parthasarathy:
Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs. PKDD 2006: 371-382 - [c64]Amol Ghoting, Srinivasan Parthasarathy:
Knowledge-Conscious Data Clustering. PKDD 2006: 511-519 - [c63]Chao Wang, Srinivasan Parthasarathy:
Learning Approximate MRFs from Large Transaction Data. PKDD 2006: 641-649 - [c62]Matthew Eric Otey, Srinivasan Parthasarathy, Donald C. Trost:
Dissimilarity Measures for Detecting Hepatotoxicity in Clinical Trial Data. SDM 2006: 509-513 - [c61]Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey:
Fast Mining of Distance-Based Outliers in High Dimensional Datasets. SDM 2006: 609-613 - 2005
- [j10]Matt Coatney, Srinivasan Parthasarathy:
MotifMiner: Efficient discovery of common substructures in biochemical molecules. Knowl. Inf. Syst. 7(2): 202-223 (2005) - [j9]Srinivasan Parthasarathy, Wei Wang, Mohammed Javeed Zaki:
BIOKDD 2005 workshop report. SIGKDD Explor. 7(2): 129-131 (2005) - [j8]Sameep Mehta, Srinivasan Parthasarathy, Hui Yang:
Toward Unsupervised Correlation Preserving Discretization. IEEE Trans. Knowl. Data Eng. 17(9): 1174-1185 (2005) - [c60]Keith Marsolo, Srinivasan Parthasarathy, Michael D. Twa, Mark Bullimore:
A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis. AIME 2005: 473-483 - [c59]Keith Marsolo, Srinivasan Parthasarathy, Michael D. Twa, Mark Bullimore:
Classification of Biomedical Data through Model-Based Spatial Averaging. BIBE 2005: 49-56 - [c58]Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding:
A Multi-Level Approach to SCOP Fold Recognition. BIBE 2005: 57-64 - [c57]Duygu Ucar, Srinivasan Parthasarathy, Sitaram Asur, Chao Wang:
Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions Network. BIBE 2005: 129-136 - [c56]Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey:
A Characterization of Data Mining Workloads on a Modern Processor. DaMoN 2005 - [c55]Keith Marsolo, Srinivasan Parthasarathy:
Alternate Representation of Distance Matrices for Characterization of Protein Structure. ICDM 2005: 298-305 - [c54]Huai Wang, Srinivasan Parthasarathy, Amol Ghoting, Shirish Tatikonda, Gregory Buehrer, Tahsin M. Kurç, Joel H. Saltz:
Design of a next generation sampling service for large scale data analysis applications. ICS 2005: 91-100 - [c53]Hui Yang, Srinivasan Parthasarathy, Sameep Mehta:
Mining Spatial Object Associations for Scientific Data. IJCAI 2005: 902-907 - [c52]Huai Wang, Amol Ghoting, Gregory Buehrer, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz:
A Services Oriented Framework for Next Generation Data Analysis Centers. IPDPS 2005 - [c51]Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal:
Discovering frequent topological structures from graph datasets. KDD 2005: 606-611 - [c50]Hui Yang, Srinivasan Parthasarathy, Sameep Mehta:
A generalized framework for mining spatio-temporal patterns in scientific data. KDD 2005: 716-721 - [c49]Sameep Mehta, Steve Barr, Tat-Sang Choy, Hui Yang, Srinivasan Parthasarathy, Raghu Machiraju, John Wilkins:
Dynamic Classification of Defect Structures in Molecular Dynamics Simulation Data. SDM 2005: 161-172 - [c48]Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey:
Cache-conscious Frequent Pattern Mining on a Modern Processor. VLDB 2005: 577-588 - [e1]Srinivasan Parthasarathy, Wei Wang, Mohammed J. Zaki:
Proceedings of the 5th international workshop on Bioinformatics, BIOKDD 2005, Chicago, Illinois, USA, August 21, 2005. ACM 2005 [contents] - 2004
- [j7]Matthew Eric Otey, Srinivasan Parthasarathy, Chao Wang, Adriano Veloso, Wagner Meira Jr.:
Parallel and distributed methods for incremental frequent itemset mining. IEEE Trans. Syst. Man Cybern. Part B 34(6): 2439-2450 (2004) - [c47]David S. Thompson, Srinivasan Parthasarathy, Raghu Machiraju, Scott Lawrence:
Improvements to Response-Surface Based Vehicle Design Using a Feature-Centric Approach. International Conference on Computational Science 2004: 764-770 - [c46]Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy:
LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets. ICDM 2004: 387-390 - [c45]Sameep Mehta, Srinivasan Parthasarathy, Hui Yang:
Correlation Preserving Discretization. ICDM 2004: 479-482 - [c44]Chao Wang, Srinivasan Parthasarathy:
Parallel algorithms for mining frequent structural motifs in scientific data. ICS 2004: 31-40 - [c43]Amol Ghoting, Srinivasan Parthasarathy:
Facilitating Interactive Distributed Data Stream Processing and Mining. IPDPS 2004 - [c42]Hongyuan Li, Keith Marsolo, Srinivasan Parthasarathy, Dmitrii Polshakov:
A New Approach to Protein Structure Mining and Alignment. BIOKDD 2004: 1-10 - [c41]Keith Marsolo, Hui Yang, Srinivasan Parthasarathy, Sameep Mehta:
Discovering Spatial Relationships Between Approximately Equivalent Patterns in Contact Maps. BIOKDD 2004: 62-71 - [c40]Benjamin Rutt, Srinivasan Parthasarathy:
Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance. PAKDD 2004: 486-496 - [c39]Adriano Veloso, Wagner Meira Jr., Renato Ferreira, Dorgival Olavo Guedes Neto, Srinivasan Parthasarathy:
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining. PKDD 2004: 422-433 - [c38]Sameep Mehta, Kaden Hazzard, Raghu Machiraju, Srinivasan Parthasarathy, John Wilkins:
Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data. IEEE Visualization 2004: 465-472 - 2003
- [j6]Srinivasan Parthasarathy, Charu C. Aggarwal:
On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets. IEEE Trans. Knowl. Data Eng. 15(6): 1512-1521 (2003) - [c37]Matt Coatney, Srinivasan Parthasarathy:
MotifMiner: A General Toolkit for Efficiently Identifying Common Substructures in Molecules. BIBE 2003: 336-340 - [c36]Radhakrishnan Sundaresan, Tahsin M. Kurç, Mario Lauria, Srinivasan Parthasarathy, Joel H. Saltz:
A Slacker Coherence rotocol for Pull-based Monitoring of On-line Data Source. CCGRID 2003: 250-257 - [c35]Adriano Veloso, Matthew Eric Otey, Srinivasan Parthasarathy, Wagner Meira Jr.:
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets. HiPC 2003: 184-193 - [c34]Radhakrishnan Sundaresan, Mario Lauria, Tahsin M. Kurç, Srinivasan Parthasarathy, Joel H. Saltz:
Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model. HPDC 2003: 260-269 - [c33]Matthew Eric Otey, Chao Wang, Srinivasan Parthasarathy, Adriano Veloso, Wagner Meira Jr.:
Mining Frequent Itemsets in Distributed and Dynamic Databases. ICDM 2003: 617-620 - [c32]Matthew Eric Otey, Srinivasan Parthasarathy, Amol Ghoting, G. Li, Sundeep Narravula, Dhabaleswar K. Panda:
Towards NIC-based intrusion detection. KDD 2003: 723-728 - [c31]Adriano Veloso, Wagner Meira Jr., Srinivasan Parthasarathy:
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases. SBAC-PAD 2003: 158-166 - [c30]Adriano Veloso, Wagner Meira Jr., Srinivasan Parthasarathy, Márcio de Carvalho:
Efficient, Accurate and Privacy-Preserving Data Mining for Frequent Itemsets in Distributed Databases. SBBD 2003: 281-292 - [c29]Michael D. Twa, Srinivasan Parthasarathy, Thomas W. Raasch, Mark Bullimore:
Decision Tree Classification of Spatial Data Patterns from Videokeratography using Zernicke Polynomials. SDM 2003: 3-12 - [c28]Ming Jiang, Tat-Sang Choy, Sameep Mehta, Matt Coatney, Steve Barr, Kaden Hazzard, David Richie, Srinivasan Parthasarathy, Raghu Machiraju, David S. Thompson, John Wilkins, Boyd Gatlin:
Feature Mining Paradigms for Scientific Data. SDM 2003: 13-24 - 2002
- [j5]Srinivasan Parthasarathy, Sandhya Dwarkadas:
Shared State for Distributed Interactive Data Mining Applications. Distributed Parallel Databases 11(2): 129-155 (2002) - [c27]Srinivasan Parthasarathy:
Efficient Progressive Sampling for Association Rules. ICDM 2002: 354-361 - [c26]Srinivasan Parthasarathy, Matt Coatney:
Efficient Discovery of Common Substructures in Macromolecules. ICDM 2002: 362-369 - [c25]Srinivasan Parthasarathy, Arun Ramakrishnan:
Parallel Incremental 2D-Discretization on Dynamic Datasets. IPDPS 2002 - [c24]Hui Yang, Srinivasan Parthasarathy:
On the Use of Constrained Associations for Web Log Mining. WEBKDD 2002: 100-118 - [c23]Adriano Veloso, Bruno Gusmão Rocha, Wagner Meira Jr., Márcio de Carvalho, Srinivasan Parthasarathy, Mohammed Javeed Zaki:
Efficiently Mining Approximate Models of Associations in Evolving Databases. PKDD 2002: 435-448 - [c22]Adriano Veloso, Wagner Meira Jr., Márcio de Carvalho, Bruno Pôssas, Srinivasan Parthasarathy, Mohammed Javeed Zaki:
Mining Frequent Itemsets in Evolving Databases. SDM 2002: 494-510 - 2001
- [j4]Srinivasan Parthasarathy, Mohammed Javeed Zaki, Mitsunori Ogihara, Wei Li:
Parallel Data Mining for Association Rules on Shared-Memory Systems. Knowl. Inf. Syst. 3(1): 1-29 (2001) - [c21]Srinivasan Parthasarathy:
Towards Network-Aware Data Mining. IPDPS 2001: 157 - [c20]Charu C. Aggarwal, Srinivasan Parthasarathy:
Mining massively incomplete data sets by conceptual reconstruction. KDD 2001: 227-232 - [c19]Srinivasan Parthasarathy, Sandhya Dwarkadas:
Shared State for Client-Server Mining. SDM 2001: 1-20 - 2000
- [c18]Srinivasan Parthasarathy, Mitsunori Ogihara:
Exploiting Dataset Similarity for Distributed Mining. IPDPS Workshops 2000: 399-406 - [c17]DeQing Chen, Sandhya Dwarkadas, Srinivasan Parthasarathy, Eduardo Pinheiro, Michael L. Scott:
InterWeave: A Middleware System for Distributed Shared State. LCR 2000: 207-220 - [c16]Srinivasan Parthasarathy, Mitsunori Ogihara:
Clustering Distributed Homogeneous Datasets. PKDD 2000: 566-574
1990 – 1999
- 1999
- [c15]Srinivasan Parthasarathy, Mohammed Javeed Zaki, Mitsunori Ogihara, Sandhya Dwarkadas:
Incremental and Interactive Sequence Mining. CIKM 1999: 251-258 - [c14]Srinivasan Parthasarathy, Sandhya Dwarkadas, Mitsunori Ogihara:
Active Mining in a Distributed Setting. Large-Scale Parallel Data Mining 1999: 65-82 - 1998
- [c13]Srinivasan Parthasarathy, Mohammed Javeed Zaki, Wei Li:
Memory Placement Techniques for Parallel Association Mining. KDD 1998: 304-308 - [c12]Srinivasan Parthasarathy, Sandhya Dwarkadas:
InterAct: Virtual Sharing for Interactive Client-Server Applications. LCR 1998: 394-401 - 1997
- [j3]Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, Wei Li:
Parallel Algorithms for Discovery of Association Rules. Data Min. Knowl. Discov. 1(4): 343-373 (1997) - [j2]Mohammed Javeed Zaki, Wei Li, Srinivasan Parthasarathy:
Customized Dynamic Load Balancing for a Network of Workstations. J. Parallel Distributed Comput. 43(2): 156-162 (1997) - [c11]Vineet Gupta, Srinivasan Parthasarathy, Mohammed J. Zaki:
Arithmetic and logic operations with DNA. DNA Based Computers 1997: 149-159 - [c10]Leonidas I. Kontothanassis, Galen C. Hunt, Robert Stets, Nikos Hardavellas, Michal Cierniak, Srinivasan Parthasarathy, Wagner Meira Jr., Sandhya Dwarkadas, Michael L. Scott:
VM-Based Shared Memory on Low-Latency, Remote-Memory-Access Networks. ISCA 1997: 157-169 - [c9]Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, Wei Li:
New Algorithms for Fast Discovery of Association Rules. KDD 1997: 283-286 - [c8]Mohammed Javeed Zaki, Srinivasan Parthasarathy, Wei Li, Mitsunori Ogihara:
Evaluation of Sampling for Data Mining of Association Rules. RIDE 1997: 42-50 - [c7]Robert Stets, Sandhya Dwarkadas, Nikos Hardavellas, Galen C. Hunt, Leonidas I. Kontothanassis, Srinivasan Parthasarathy, Michael L. Scott:
Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network. SOSP 1997: 170-183 - [c6]Mohammed Javeed Zaki, Srinivasan Parthasarathy, Wei Li:
A Localized Algorithm for Parallel Association Mining. SPAA 1997: 321-330 - 1996
- [j1]Galen C. Hunt, Maged M. Michael, Srinivasan Parthasarathy, Michael L. Scott:
An Efficient Algorithm for Concurrent Priority Queue Heaps. Inf. Process. Lett. 60(3): 151-157 (1996) - [c5]Mohammed Javeed Zaki, Wei Li, Srinivasan Parthasarathy:
Customized Dynamic Load Balancing for a Network of Workstations. HPDC 1996: 282-291 - [c4]Mohammed Javeed Zaki, Mitsunori Ogihara, Srinivasan Parthasarathy, Wei Li:
Parallel Data Mining for Association Rules on Shared-Memory Multi-Processors. SC 1996: 43 - [c3]Srinivasan Parthasarathy, Wei Li, Michal Cierniak, Mohammed Javeed Zaki:
Compile-time inter-query dependence analysis. SPDP 1996: 522-529
1980 – 1989
- 1987
- [c2]Srinivasan Parthasarathy, Denise Wolf, Evelyn Hu, Susan Hackwood, Gerardo Beni:
A color vision system for film thickness determination. ICRA 1987: 515-519 - 1986
- [c1]Matt Barth, Srinivasan Parthasarathy, Jing Wang, Evelyn Hu, Susan Hackwood, Gerardo Beni:
A color vision system for microelectronics: Application to oxide thickness measurements. ICRA 1986: 1242-1247
Coauthor Index
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