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ORCIDDivesh Srivastava
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- affiliation: AT&T Inc
- award (2021): TCDE Impact Award
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2020 – today
- 2024
[j138]Wendy Hall, Divesh Srivastava, Scott E. Delman:
ACM Publications Finances for 2022: Striving for Balance between Mission, Sustainability, and Growth. Commun. ACM 67(1): 22-26 (2024)- [j137]Sijie Dong, Qitong Wang, Sahri Soror, Themis Palpanas, Divesh Srivastava:
Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines. Proc. VLDB Endow. 17(11): 3072-3081 (2024) - [j136]Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava:
FairEM360: A Suite for Responsible Entity Matching. Proc. VLDB Endow. 17(12): 4417-4420 (2024) - [j135]Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou:
Front Matter. Proc. VLDB Endow. 17(12) (2024) - [j134]Radin Hamidi Rad
, Hossein Fani, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
A Variational Neural Architecture for Skill-based Team Formation. ACM Trans. Inf. Syst. 42(1): 7:1-7:28 (2024) - [j133]Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering approximate implicit domain orders through order dependencies. VLDB J. 33(5): 1257-1282 (2024) - [c267]Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Fatemeh Nargesian, Felix Naumann, Divesh Srivastava:
Efficient Discovery of Temporal Inclusion Dependencies in Wikipedia Tables. EDBT 2024: 399-411 - [c266]Armin Esmaeilzadeh, Joel Rorseth, Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Kazem Taghva:
On Integrating the Data-Science and Machine-Learning Pipelines for Responsible AI. GUIDE-AI@SIGMOD 2024: 50-53 - [c265]Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
RAGE Against the Machine: Retrieval-Augmented LLM Explanations. ICDE 2024: 5469-5472 - [c264]Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
CAMO: Explaining Consensus Across MOdels. ICDE 2024: 5493-5496 - [c263]Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
Towards Explainability in Retrieval-Augmented LLMs. ICDE 2024: 5669-5670 - [c262]Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
Exploring the Space of Model Comparisons. ICDE 2024: 5673-5674 - [c261]Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava:
Building Taxonomies with Triplet Queries. SEBD 2024: 14-24 - [c260]Sourav S. Bhowmick, S. H. Annabel Chen, Divesh Srivastava:
Cognitive Psychology Meets Data Management: State of the Art and Future Directions. SIGMOD Conference Companion 2024: 590-596 - [i41]Sedir Mohammed, Hazar Harmouch, Felix Naumann, Divesh Srivastava:
Data Quality Assessment: Challenges and Opportunities. CoRR abs/2403.00526 (2024) - [i40]Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava:
FairEM360: A Suite for Responsible Entity Matching. CoRR abs/2404.07354 (2024) - [i39]Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
RAGE Against the Machine: Retrieval-Augmented LLM Explanations. CoRR abs/2405.13000 (2024) - 2023
- [j132]Wendy Hall, Divesh Srivastava, Scott E. Delman:
ACM Publications Finances for 2021. Commun. ACM 66(4): 18-19 (2023) - [j131]Radin Hamidi Rad, Hoang Nguyen, Feras N. Al-Obeidat, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Fattane Zarrinkalam:
Learning heterogeneous subgraph representations for team discovery. Inf. Retr. J. 26(1): 8 (2023) - [j130]Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Fatemeh Nargesian, Felix Naumann, Divesh Srivastava:
Matching Roles from Temporal Data: Why Joe Biden is not only President, but also Commander-in-Chief. Proc. ACM Manag. Data 1(1): 65:1-65:26 (2023) - [j129]Felipe T. Brito, Victor A. E. de Farias, Cheryl J. Flynn, Subhabrata Majumdar, Javam C. Machado, Divesh Srivastava:
Global and Local Differentially Private Release of Count-Weighted Graphs. Proc. ACM Manag. Data 1(2): 154:1-154:25 (2023) - [j128]Vargha Dadvar, Lukasz Golab, Divesh Srivastava:
POEM: Pattern-Oriented Explanations of Convolutional Neural Networks. Proc. VLDB Endow. 16(11): 3192-3200 (2023) - [j127]Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava:
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching. Proc. VLDB Endow. 16(11): 3279-3292 (2023) - [j126]Alexandra Meliou, Sourav S. Bhowmick, Karl Aberer, Divy Agrawal, Angela Bonifati, Vanessa Braganholo, Floris Geerts, Wolfgang Lehner, Divesh Srivastava:
Peer-Reviewing Processes and Incentives: Data Management Community Survey Results. SIGMOD Rec. 52(4): 41-46 (2023) - [j125]Federico Piai, Paolo Atzeni, Paolo Merialdo, Divesh Srivastava:
Fine-grained semantic type discovery for heterogeneous sources using clustering. VLDB J. 32(2): 305-324 (2023) - [j124]Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava:
Local dampening: differential privacy for non-numeric queries via local sensitivity. VLDB J. 32(6): 1191-1214 (2023) - [c259]Malte Barth, Tibor Bleidt, Martin Büßemeyer, Fabian Heseding, Niklas Köhnecke, Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Detecting Stale Data in Wikipedia Infoboxes. EDBT 2023: 450-456 - [c258]Andrew Chai, Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
EAGER: Explainable Question Answering Using Knowledge Graphs. GRADES-NDA@SIGMOD 2023: 4:1-4:5 - [c257]Alexander Bianchi, Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
iORDER: Mining Implicit Domain Orders. ICDE 2023: 3623-3626 - [c256]Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
CREDENCE: Counterfactual Explanations for Document Ranking. ICDE 2023: 3631-3634 - [c255]Yaron Kanza, Rajat Malik, Divesh Srivastava, Caroline Stone, Gordon Woodhull:
Data Quality in Data Streams by Modular Change Point Detection. VLDB Workshops 2023 - [i38]Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
CREDENCE: Counterfactual Explanations for Document Ranking. CoRR abs/2302.04983 (2023) - [i37]Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava:
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching. CoRR abs/2307.02726 (2023) - 2022
- [j123]Vargha Dadvar, Lukasz Golab, Divesh Srivastava:
Exploring data using patterns: A survey. Inf. Syst. 108: 101985 (2022) - [j122]Vargha Dadvar, Lukasz Golab, Divesh Srivastava:
POEM: Pattern-Oriented Explanations of CNN Models. Proc. VLDB Endow. 15(12): 3618-3621 (2022) - [j121]Tommaso Teofili, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava:
CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA. Proc. VLDB Endow. 15(12): 3642-3645 (2022) - [j120]Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
Effective Keyword Search Over Weighted Graphs. IEEE Trans. Knowl. Data Eng. 34(2): 601-616 (2022) - [j119]Zi Huang, Yanyan Shen, Divesh Srivastava:
Special issue on responsible data management and data science. VLDB J. 31(5): 823 (2022) - [j118]Pei Li, Jaroslaw Szlichta, Michael H. Böhlen, Divesh Srivastava:
ABC of order dependencies. VLDB J. 31(5): 825-849 (2022) - [c254]Divesh Srivastava, Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann:
Exploring and Analyzing Change: The Janus Project. CIKM 2022: 3 - [c253]Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
Fine-Tuning Dependencies with Parameters. EDBT 2022: 2:393-2:397 - [c252]Yaron Kanza, Balachander Krishnamurthy, Divesh Srivastava:
Geospatial accessibility and inclusion by combining contextual filters, the metaverse and ambient intelligence. SIGSPATIAL/GIS 2022: 96:1-96:4 - [c251]Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering Domain Orders via Order Dependencies. ICDE 2022: 1098-1110 - [c250]Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. ICDE 2022: 2709-2721 - [c249]Pei Li, Jessica Jessica, Naida Tania, Michael H. Böhlen, Divesh Srivastava, Jaroslaw Szlichta:
abcOD: Mining Band Order Dependencies. ICDE 2022: 3162-3165 - [c248]Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava:
DataPrism: Exposing Disconnect between Data and Systems. SIGMOD Conference 2022: 217-231 - [c247]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Hierarchical Entity Resolution using an Oracle. SIGMOD Conference 2022: 414-428 - [c246]Pingcheng Ruan, Yaron Kanza, Beng Chin Ooi, Divesh Srivastava:
LedgerView: Access-Control Views on Hyperledger Fabric. SIGMOD Conference 2022: 2218-2231 - [c245]Sihem Amer-Yahia, Sourav S. Bhowmick, Xin Luna Dong, Stratos Idreos, Wolfgang Lehner, Divesh Srivastava:
Publication Culture and Review Processes in the Data Management Community: An Open Discussion. SIGMOD Conference 2022: 2501-2502 - [c244]Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Subgraph Representation Learning for Team Mining. WebSci 2022: 148-153 - [i36]Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. CoRR abs/2203.12978 (2022) - [i35]Cheryl J. Flynn, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou:
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes. CoRR abs/2211.04568 (2022) - 2021
- [j117]Abolfazl Asudeh, Jees Augustine, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava:
Scalable signal reconstruction for a broad range of applications. Commun. ACM 64(2): 106-115 (2021) - [j116]Divesh Srivastava:
Letter from the Impact Award Winner. IEEE Data Eng. Bull. 44(2): 92-93 (2021) - [j115]Trong Duc Nguyen, Ming-Hung Shih, Divesh Srivastava, Srikanta Tirthapura, Bojian Xu:
Stratified random sampling from streaming and stored data. Distributed Parallel Databases 39(3): 665-710 (2021) - [j114]Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava:
Real-World Trajectory Sharing with Local Differential Privacy. Proc. VLDB Endow. 14(11): 2283-2295 (2021) - [j113]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. IEEE Trans. Knowl. Data Eng. 33(2): 415-430 (2021) - [j112]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Efficient and effective ER with progressive blocking. VLDB J. 30(4): 537-557 (2021) - [c243]Shuaicheng Ma, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava, Li Xiong:
Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality. CIDR 2021 - [c242]Lukasz Golab, Divesh Srivastava:
Exploring Data Using Pa erns: A Survey and Open Problems. DOLAP 2021: 116-120 - [c241]Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Efficient Discovery of Approximate Order Dependencies. EDBT 2021: 427-432 - [c240]Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Structured Object Matching across Web Page Revisions. ICDE 2021: 1284-1295 - [c239]Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
Effective Keyword Search in Weighted Graphs (Extended Abstract). ICDE 2021: 2350-2351 - [c238]Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Retrieving Skill-Based Teams from Collaboration Networks. SIGIR 2021: 2015-2019 - [c237]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
BEER: Blocking for Effective Entity Resolution. SIGMOD Conference 2021: 2711-2715 - [c236]Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
The Secret Life of Wikipedia Tables. SEA-Data@VLDB 2021: 20-26 - [e16]Guoliang Li, Zhanhuai Li, Stratos Idreos, Divesh Srivastava:
SIGMOD '21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021. ACM 2021, ISBN 978-1-4503-8343-1 [contents] - [i34]Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Efficient Discovery of Approximate Order Dependencies. CoRR abs/2101.02174 (2021) - [i33]Valter Crescenzi, Andrea De Angelis, Donatella Firmani, Maurizio Mazzei, Paolo Merialdo, Federico Piai, Divesh Srivastava:
Alaska: A Flexible Benchmark for Data Integration Tasks. CoRR abs/2101.11259 (2021) - [i32]Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava:
DataExposer: Exposing Disconnect between Data and Systems. CoRR abs/2105.06058 (2021) - [i31]Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava:
Real-World Trajectory Sharing with Local Differential Privacy. CoRR abs/2108.02084 (2021) - 2020
- [j111]Masayo Ota, Heiko Mueller, Juliana Freire, Divesh Srivastava:
Data-Driven Domain Discovery for Structured Datasets. Proc. VLDB Endow. 13(7): 953-965 (2020) - [j110]Jees Augustine, Suraj Shetiya, Abolfazl Asudeh, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava:
Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins. Proc. VLDB Endow. 13(12): 2977-2980 (2020) - [j109]Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava:
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. Proc. VLDB Endow. 14(4): 521-533 (2020) - [j108]Aline Bessa, Juliana Freire, Tamraparni Dasu, Divesh Srivastava:
Effective Discovery of Meaningful Outlier Relationships. Trans. Data Sci. 1(2): 12:1-12:33 (2020) - [j107]Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Scalable algorithms for signal reconstruction by leveraging similarity joins. VLDB J. 29(2-3): 681-707 (2020) - [c235]Divesh Srivastava:
Towards High-Quality Big Data: Lessons from FIT. IEEE BigData 2020: 4 - [c234]Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava:
Erratum for Discovering Order Dependencies through Order Compatibility (EDBT 2019). EDBT 2020: 659-663 - [c233]Yaron Kanza, David C. Gibbon, Divesh Srivastava, Valerie Yip, Eric Zavesky:
Smartmedia: Locally & Contextually-Adapted Streaming Media. SIGSPATIAL/GIS 2020: 589-592 - [c232]Trong Duc Nguyen, Ming-Hung Shih, Sai Sree Parvathaneni, Bojian Xu, Divesh Srivastava, Srikanta Tirthapura:
Random Sampling for Group-By Queries. ICDE 2020: 541-552 - [c231]Alexandra Kim, Laks V. S. Lakshmanan, Divesh Srivastava:
Summarizing Hierarchical Multidimensional Data. ICDE 2020: 877-888 - [c230]Pei Li, Jaroslaw Szlichta, Michael H. Böhlen, Divesh Srivastava:
Discovering Band Order Dependencies. ICDE 2020: 1878-1881 - [c229]Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Natural Key Discovery in Wikipedia Tables. WWW 2020: 2789-2795 - [e15]Federico Piai, Donatella Firmani, Valter Crescenzi, Andrea De Angelis, Xin Luna Dong, Maurizio Mazzei, Paolo Merialdo, Divesh Srivastava:
Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, DI2KG@VLDB 2020, Tokyo, Japan, August 31, 2020. CEUR Workshop Proceedings 2726, CEUR-WS.org 2020 [contents] - [i30]Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering Domain Orders through Order Dependencies. CoRR abs/2005.14068 (2020) - [i29]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Efficient and Effective ER with Progressive Blocking. CoRR abs/2005.14326 (2020) - [i28]Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava:
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. CoRR abs/2012.04117 (2020)
2010 – 2019
- 2019
- [j106]Juan L. Reutter, Divesh Srivastava:
Editorial. Inf. Syst. 86: 9 (2019) - [j105]Divesh Srivastava, Monica Scannapieco, Thomas C. Redman:
Ensuring High-Quality Private Data for Responsible Data Science: Vision and Challenges. ACM J. Data Inf. Qual. 11(1): 1:1-1:9 (2019) - [j104]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Answering Range Queries Under Local Differential Privacy. Proc. VLDB Endow. 12(10): 1126-1138 (2019) - [j103]Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Efficient Signal Reconstruction for a Broad Range of Applications. SIGMOD Rec. 48(1): 42-49 (2019) - [j102]Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava:
From Rocks to Pebbles: Smoothing Spatiotemporal Data Streams in an Overlay of Sensors. ACM Trans. Spatial Algorithms Syst. 5(3): 18:1-18:38 (2019) - [c228]Heidar Davoudi, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Bring Order to Data. AMW 2019 - [c227]Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
DBChEx: Interactive Exploration of Data and Schema Change. CIDR 2019 - [c226]Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Eleftherios Koutsofios, Rajat Malik, Divesh Srivastava:
Don't Cry Wolf. DSAA 2019: 616-617 - [c225]Trong Duc Nguyen, Ming-Hung Shih, Divesh Srivastava, Srikanta Tirthapura, Bojian Xu:
Stratified Random Sampling over Streaming and Stored Data. EDBT 2019: 25-36 - [c224]Tobias Bleifuß, Leon Bornemann, Theodore Johnson, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Exploring Change. SEBD 2019 - [c223]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Crowd-Sourced Entity Resolution with Control Queries. SEBD 2019 - [c222]Vincenzo Di Cicco, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava:
Interpreting deep learning models for entity resolution: an experience report using LIME. aiDM@SIGMOD 2019: 8:1-8:4 - [c221]Michael Vollmer, Lukasz Golab, Klemens Böhm, Divesh Srivastava:
Informative Summarization of Numeric Data. SSDBM 2019: 97-108 - [e14]Donatella Firmani, Valter Crescenzi, Andrea De Angelis, Xin Luna Dong, Maurizio Mazzei, Paolo Merialdo, Divesh Srivastava:
Proceedings of the 1st International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), Anchorage, Alaska, August 5, 2019. CEUR Workshop Proceedings 2512, CEUR-WS.org 2019 [contents] - [i27]Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Errata Note: Discovering Order Dependencies through Order Compatibility. CoRR abs/1905.02010 (2019) - [i26]Pei Li, Michael H. Böhlen, Jaroslaw Szlichta, Divesh Srivastava:
Discovery of Band Order Dependencies. CoRR abs/1905.11948 (2019) - [i25]Trong Duc Nguyen, Ming-Hung Shih, Sai Sree Parvathaneni, Bojian Xu, Divesh Srivastava, Srikanta Tirthapura:
Random Sampling for Group-By Queries. CoRR abs/1909.02629 (2019) - [i24]Aline Bessa, Juliana Freire, Divesh Srivastava, Tamraparni Dasu:
Efficient Discovery of Meaningful Outlier Relationships. CoRR abs/1910.08678 (2019) - 2018
- [j101]Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Data Change Exploration Using Time Series Clustering. Datenbank-Spektrum 18(2): 79-87 (2018) - [j100]Luciano Barbosa, Valter Crescenzi, Xin Luna Dong, Paolo Merialdo, Federico Piai, Disheng Qiu, Yanyan Shen, Divesh Srivastava:
Big Data Integration for Product Specifications. IEEE Data Eng. Bull. 41(2): 71-81 (2018) - [j99]Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava:
Robust Entity Resolution Using a CrowdOracle. IEEE Data Eng. Bull. 41(2): 91-103 (2018) - [j98]Kareem El Gebaly, Guoyao Feng, Lukasz Golab, Flip Korn, Divesh Srivastava:
Explanation Tables. IEEE Data Eng. Bull. 41(3): 43-51 (2018) - [j97]Abolfazl Asudeh, Azade Nazi, Jees Augustine, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Leveraging Similarity Joins for Signal Reconstruction. Proc. VLDB Endow. 11(10): 1276-1288 (2018) - [j96]Wei Chit Tan, Meihui Zhang, Hazem Elmeleegy, Divesh Srivastava:
REGAL+: Reverse Engineering SPJA Queries. Proc. VLDB Endow. 11(12): 1982-1985 (2018) - [j95]Tobias Bleifuß, Leon Bornemann, Theodore Johnson, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Exploring Change - A New Dimension of Data Analytics. Proc. VLDB Endow. 12(2): 85-98 (2018) - [j94]Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava:
Effective and complete discovery of bidirectional order dependencies via set-based axioms. VLDB J. 27(4): 573-591 (2018) - [c220]