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ORCIDLaks V. S. Lakshmanan
V. S. Lakshmanan 0001
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- affiliation: University of British Columbia, Department of Computer Science
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2020 – today
- 2025
[c187]Arkaprava Saha
, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan:
Hyperparametric Robust and Dynamic Influence Maximization. AAAI 2025: 12497-12505- [c186]Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan:
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference. ICLR 2025 - [c185]Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma:
TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. WWW (Companion Volume) 2025: 1118-1122 - [c184]Yudong Niu, Yuchen Li, Jiaxin Jiang, Laks V. S. Lakshmanan:
SANS: Efficient Densest Subgraph Discovery over Relational Graphs without Materialization. WWW 2025: 4250-4263 - [i64]Keke Huang, Yimin Shi, Dujian Ding, Yifei Li, Yang Fei, Laks V. S. Lakshmanan, Xiaokui Xiao:
ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries. CoRR abs/2501.04901 (2025) - [i63]Kaiqiang Yu, Kaixin Wang, Cheng Long, Laks V. S. Lakshmanan, Reynold Cheng:
Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach. CoRR abs/2502.11557 (2025) - [i62]Carrie Wang, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Reynold Cheng:
On Aggregation Queries over Predicted Nearest Neighbors. CoRR abs/2502.18803 (2025) - [i61]Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma:
TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. CoRR abs/2503.23072 (2025) - [i60]Yi Yang, Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han:
Finding Locally Densest Subgraphs: Convex Programming with Edge and Triangle Density. CoRR abs/2504.10937 (2025) - [i59]Mohammad Matin Najafi, Xianju Zhu, Chrysanthi Kosyfaki, Laks V. S. Lakshmanan, Reynold Cheng:
BEACON: A Benchmark for Efficient and Accurate Counting of Subgraphs. CoRR abs/2504.10948 (2025) - 2024
- [j77]Rudra Ranajee Saha, Laks V. S. Lakshmanan, Raymond T. Ng:
Stance Detection with Explanations. Comput. Linguistics 50(1): 193-235 (2024) - [j76]Yiqian Huang, Shiqi Zhang, Laks V. S. Lakshmanan, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint. Proc. VLDB Endow. 18(2): 117-129 (2024) - [j75]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li:
Accelerating directed densest subgraph queries with software and hardware approaches. VLDB J. 33(1): 207-230 (2024) - [c183]Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra:
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. ACL (Findings) 2024: 10424-10443 - [c182]Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Dujian Ding:
LLM Performance Predictors are good initializers for Architecture Search. ACL (Findings) 2024: 10540-10560 - [c181]Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
DetoxLLM: A Framework for Detoxification with Explanations. EMNLP 2024: 19112-19139 - [c180]Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah:
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. ICLR 2024 - [c179]Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan:
Predicting Cascading Failures with a Hyperparametric Diffusion Model. KDD 2024: 3495-3506 - [c178]Yuxi Feng, Laks V. S. Lakshmanan:
DuRE: Dual Contrastive Self Training for Semi-Supervised Relation Extraction. NAACL-HLT 2024: 540-555 - [i58]Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
GreenLLaMA: A Framework for Detoxification with Explanations. CoRR abs/2402.15951 (2024) - [i57]Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah:
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. CoRR abs/2404.14618 (2024) - [i56]Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan:
OCCAM: Towards Cost-Efficient and Accuracy-Aware Image Classification Inference. CoRR abs/2406.04508 (2024) - [i55]Yingli Zhou, Qingshuo Guo, Yi Yang, Yixiang Fang, Chenhao Ma, Laks V. S. Lakshmanan:
In-depth Analysis of Densest Subgraph Discovery in a Unified Framework. CoRR abs/2406.04738 (2024) - [i54]Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan:
Predicting Cascading Failures with a Hyperparametric Diffusion Model. CoRR abs/2406.08522 (2024) - [i53]Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan:
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency. CoRR abs/2406.09675 (2024) - [i52]Xiang Zhang, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Autoregressive + Chain of Thought = Recurrent: Recurrence's Role in Language Models' Computability and a Revisit of Recurrent Transformer. CoRR abs/2409.09239 (2024) - [i51]Yiqian Huang, Shiqi Zhang, Laks V. S. Lakshmanan, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint. CoRR abs/2410.16603 (2024) - [i50]Xiang Zhang, Senyu Li, Ning Shi, Bradley Hauer, Zijun Wu, Grzegorz Kondrak, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Cross-Modal Consistency in Multimodal Large Language Models. CoRR abs/2411.09273 (2024) - [i49]Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan:
Hyperparametric Robust and Dynamic Influence Maximization. CoRR abs/2412.11827 (2024) - 2023
- [j74]Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan:
Mitigating Filter Bubbles Under a Competitive Diffusion Model. Proc. ACM Manag. Data 1(2): 175:1-175:26 (2023) - [j73]Mohammad Matin Najafi, Chenhao Ma, Xiaodong Li, Reynold Cheng, Laks V. S. Lakshmanan:
MOSER: Scalable Network Motif Discovery using Serial Test. Proc. VLDB Endow. 17(3): 591-603 (2023) - [c177]Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie:
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. ACL (1) 2023: 8760-8785 - [c176]Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao:
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. ACL (Findings) 2023: 9116-9132 - [c175]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan:
Voting-based Opinion Maximization. ICDE 2023: 544-557 - [c174]Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie:
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. IJCAI 2023: 5049-5057 - [c173]Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
PACT: Pretraining with Adversarial Contrastive Learning for Text Classification. IJCNLP (1) 2023: 1102-1117 - [c172]Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio C. T. Mendes, Gustavo Henrique de Rosa, Shital Shah:
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. SustaiNLP 2023: 274-289 - [i48]Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra:
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. CoRR abs/2306.04845 (2023) - [i47]Wensheng Luo, Chenhao Ma, Yixiang Fang, Laks V. S. Lakshmanan:
A Survey of Densest Subgraph Discovery on Large Graphs. CoRR abs/2306.07927 (2023) - [i46]Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie:
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. CoRR abs/2306.10414 (2023) - [i45]Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Dujian Ding:
LLM Performance Predictors are good initializers for Architecture Search. CoRR abs/2310.16712 (2023) - 2022
- [j72]Michael Simpson, Laks V. S. Lakshmanan, Farnoosh Hashemi:
Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties. Proc. VLDB Endow. 15(10): 2216-2229 (2022) - [j71]Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han:
Finding Locally Densest Subgraphs: A Convex Programming Approach. Proc. VLDB Endow. 15(11): 2719-2732 (2022) - [j70]Ali Behrouz, Farnoosh Hashemi, Laks V. S. Lakshmanan:
FirmTruss Community Search in Multilayer Networks. Proc. VLDB Endow. 16(3): 505-518 (2022) - [j69]Dujian Ding, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
On Efficient Approximate Queries over Machine Learning Models. Proc. VLDB Endow. 16(4): 918-931 (2022) - [j68]Laks V. S. Lakshmanan:
Mid-Career Researcher, huh?: What just Changed? SIGMOD Rec. 51(4): 45-48 (2022) - [j67]Glenn S. Bevilacqua, Laks V. S. Lakshmanan:
A fractional memory-efficient approach for online continuous-time influence maximization. VLDB J. 31(2): 403-429 (2022) - [c171]Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Automatic Detection of Entity-Manipulated Text using Factual Knowledge. ACL (2) 2022: 86-93 - [c170]Laks V. S. Lakshmanan:
On a Quest for Combating Filter Bubbles and Misinformation. SIGMOD Conference 2022: 2 - [c169]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han:
A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. SIGMOD Conference 2022: 845-859 - [c168]Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
A Benchmark Study of Contrastive Learning for Arabic Social Meaning. WANLP@EMNLP 2022: 63-75 - [c167]Farnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan:
FirmCore Decomposition of Multilayer Networks. WWW 2022: 1589-1600 - [i44]Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Automatic Detection of Entity-Manipulated Text using Factual Knowledge. CoRR abs/2203.10343 (2022) - [i43]Ali Behrouz, Farnoosh Hashemi, Laks V. S. Lakshmanan:
FirmTruss Community Search in Multilayer Networks. CoRR abs/2205.00742 (2022) - [i42]Dujian Ding, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
On Efficient Approximate Queries over Machine Learning Models. CoRR abs/2206.02845 (2022) - [i41]Michael Simpson, Farnoosh Hashemi, Laks V. S. Lakshmanan:
Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties. CoRR abs/2206.11419 (2022) - [i40]Farnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan:
FirmCore Decomposition of Multilayer Networks. CoRR abs/2208.11200 (2022) - [i39]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan:
Voting-based Opinion Maximization. CoRR abs/2209.06756 (2022) - [i38]Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio César Teodoro Mendes, Gustavo Henrique de Rosa, Shital Shah:
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. CoRR abs/2210.03251 (2022) - [i37]Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao:
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers. CoRR abs/2210.07535 (2022) - [i36]Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
A Benchmark Study of Contrastive Learning for Arabic Social Meaning. CoRR abs/2210.12314 (2022) - [i35]Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning. CoRR abs/2211.06452 (2022) - [i34]Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie:
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. CoRR abs/2212.08724 (2022) - 2021
- [j66]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
Efficient Directed Densest Subgraph Discovery. SIGMOD Rec. 50(1): 33-40 (2021) - [j65]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
On Directed Densest Subgraph Discovery. ACM Trans. Database Syst. 46(4): 13:1-13:45 (2021) - [c166]Ganesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing. CALCS@NAACL 2021: 36-46 - [c165]Gorisha Agarwal, Laks V. S. Lakshmanan, Xiaoming Gao, Kevin Ventullo, Saurav Mohapatra, Saikat Basu:
MAYUR: Map conflAtion using earlY prUning and Rank join. SIGSPATIAL/GIS 2021: 550-553 - [c164]Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang:
Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. ICDE 2021: 2069-2074 - [c163]Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan:
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. SIGMOD Conference 2021: 671-684 - [c162]Saravanan Thirumuruganathan, Michael Simpson, Laks V. S. Lakshmanan:
To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News. SIGMOD Conference 2021: 2300-2309 - [i33]Ganesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing. CoRR abs/2105.08807 (2021) - [i32]Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan:
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. CoRR abs/2107.04997 (2021) - 2020
- [j64]Prithu Banerjee, Laks V. S. Lakshmanan, Wei Chen:
Maximizing Social Welfare in a Competitive Diffusion Model. Proc. VLDB Endow. 14(4): 613-625 (2020) - [j63]Anthony-Alexander Christidis, Laks V. S. Lakshmanan, Ezequiel Smucler, Ruben H. Zamar:
Split Regularized Regression. Technometrics 62(3): 330-338 (2020) - [j62]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
Cohort analytics: efficiency and applicability. VLDB J. 29(6): 1527-1550 (2020) - [c161]Sarah Elhammadi, Laks V. S. Lakshmanan, Raymond T. Ng, Michael Simpson, Baoxing Huai, Zhefeng Wang, Lanjun Wang:
A High Precision Pipeline for Financial Knowledge Graph Construction. COLING 2020: 967-977 - [c160]Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Automatic Detection of Machine Generated Text: A Critical Survey. COLING 2020: 2296-2309 - [c159]Alexandra Kim, Laks V. S. Lakshmanan, Divesh Srivastava:
Summarizing Hierarchical Multidimensional Data. ICDE 2020: 877-888 - [c158]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs. SIGMOD Conference 2020: 1051-1066 - [c157]Tobias Grubenmann, Reynold C. K. Cheng, Laks V. S. Lakshmanan:
TSA: A Truthful Mechanism for Social Advertising. WSDM 2020: 214-222 - [i31]Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Automatic Detection of Machine Generated Text: A Critical Survey. CoRR abs/2011.01314 (2020) - [i30]Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan:
Maximizing Social Welfare in a Competitive Diffusion Model. CoRR abs/2012.03354 (2020)
2010 – 2019
- 2019
- [b2]Xin Huang, Laks V. S. Lakshmanan, Jianliang Xu:
Community Search over Big Graphs. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00746-0 - [j61]Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery. Proc. VLDB Endow. 12(11): 1719-1732 (2019) - [j60]Laks V. S. Lakshmanan, Michael Simpson, Saravanan Thirumuruganathan:
Combating Fake News: A Data Management and Mining Perspective. Proc. VLDB Endow. 12(12): 1990-1993 (2019) - [j59]Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li:
LINC: A Motif Counting Algorithm for Uncertain Graphs. Proc. VLDB Endow. 13(2): 155-168 (2019) - [c156]Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan:
Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model. SIGMOD Conference 2019: 1078-1095 - [c155]Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. SIGMOD Conference 2019: 1096-1113 - [r3]Laks V. S. Lakshmanan, Panayiotis Tsaparas, Yuichi Yoshida:
Influence Analytics in Graphs. Encyclopedia of Big Data Technologies 2019 - [i29]Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery. CoRR abs/1906.00341 (2019) - [i28]Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. CoRR abs/1907.09668 (2019) - 2018
- [c154]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
Cohort Representation and Exploration. DSAA 2018: 169-178 - [c153]Dmitri V. Kalashnikov, Laks V. S. Lakshmanan, Divesh Srivastava:
FastQRE: Fast Query Reverse Engineering. SIGMOD Conference 2018: 337-350 - [c152]Çigdem Aslay, Laks V. S. Lakshmanan, Wei Lu, Xiaokui Xiao:
Influence Maximization in Online Social Networks. WSDM 2018: 775-776 - [r2]Laks V. S. Lakshmanan:
XML Tree Pattern, XML Twig Query. Encyclopedia of Database Systems (2nd ed.) 2018 - [i27]Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan:
EPIC: Welfare Maximization under Economically Postulated Independent Cascade Model. CoRR abs/1807.02502 (2018) - 2017
- [j58]Keke Huang, Sibo Wang, Glenn S. Bevilacqua, Xiaokui Xiao, Laks V. S. Lakshmanan:
Revisiting the Stop-and-Stare Algorithms for Influence Maximization. Proc. VLDB Endow. 10(9): 913-924 (2017) - [j57]Xin Huang, Laks V. S. Lakshmanan:
Attribute-Driven Community Search. Proc. VLDB Endow. 10(9): 949-960 (2017) - [j56]Çigdem Aslay, Francesco Bonchi, Laks V. S. Lakshmanan, Wei Lu:
Revenue Maximization in Incentivized Social Advertising. Proc. VLDB Endow. 10(11): 1238-1249 (2017) - [c151]Sharan Vaswani, Mark Schmidt, Laks V. S. Lakshmanan:
Horde of Bandits using Gaussian Markov Random Fields. AISTATS 2017: 690-699 - [c150]Xin Huang, Laks V. S. Lakshmanan, Jianliang Xu:
Community Search over Big Graphs: Models, Algorithms, and Opportunities. ICDE 2017: 1451-1454 - [c149]Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt:
Model-Independent Online Learning for Influence Maximization. ICML 2017: 3530-3539 - [c148]Sihem Amer-Yahia, Sofia Kleisarchaki, Naresh Kumar Kolloju, Laks V. S. Lakshmanan, Ruben H. Zamar:
Exploring Rated Datasets with Rating Maps. WWW 2017: 1411-1419 - [i26]Sampoorna Biswas, Laks V. S. Lakshmanan, Senjuti Basu Roy:
Combating the Cold Start User Problem in Model Based Collaborative Filtering. CoRR abs/1703.00397 (2017) - [i25]Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt:
Diffusion Independent Semi-Bandit Influence Maximization. CoRR abs/1703.00557 (2017) - [i24]Sharan Vaswani, Mark Schmidt, Laks V. S. Lakshmanan:
Horde of Bandits using Gaussian Markov Random Fields. CoRR abs/1703.02626 (2017) - [i23]Wei Lu, Xiaokui Xiao, Amit Goyal, Keke Huang, Laks V. S. Lakshmanan:
Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study". CoRR abs/1705.05144 (2017) - 2016
- [j55]Senjuti Basu Roy, Kostas Stefanidis, Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald:
Report on the Third International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2016). SIGMOD Rec. 45(3): 35-38 (2016) - [c147]Pei Lee, Laks V. S. Lakshmanan:
Query-Driven Maximum Quasi-Clique Search. SDM 2016: 522-530 - [c146]Laks V. S. Lakshmanan:
Viral marketing 2.0. NDA@SIGMOD 2016: 2:1 - [c145]Theodore Johnson, Yaron Kanza, Laks V. S. Lakshmanan, Vladislav Shkapenyuk:
Nepal: a path query language for communication networks. NDA@SIGMOD 2016: 6:1-6:8 - [c144]Xin Huang, Wei Lu, Laks V. S. Lakshmanan:
Truss Decomposition of Probabilistic Graphs: Semantics and Algorithms. SIGMOD Conference 2016: 77-90 - [e7]Senjuti Basu Roy, Kostas Stefanidis, Georgia Koutrika, Mirek Riedewald, Laks V. S. Lakshmanan:
Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web, San Francisco, CA, USA, July 1, 2016. ACM 2016, ISBN 978-1-4503-4312-1 [contents] - [i22]Sharan Vaswani, Laks V. S. Lakshmanan:
Adaptive Influence Maximization in Social Networks: Why Commit when You can Adapt? CoRR abs/1604.08171 (2016) - [i21]Xin Huang, Laks V. S. Lakshmanan:
Attribute Truss Community Search. CoRR abs/1609.00090 (2016) - [i20]Çigdem Aslay, Francesco Bonchi, Laks V. S. Lakshmanan, Wei Lu:
Revenue Maximization in Incentivized Social Advertising. CoRR abs/1612.00531 (2016) - 2015
- [j54]Çigdem Aslay, Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan:
Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret. Proc. VLDB Endow. 8(7): 822-833 (2015) - [j53]Wei Lu, Wei Chen, Laks V. S. Lakshmanan:
From Competition to Complementarity: Comparative Influence Diffusion and Maximization. Proc. VLDB Endow. 9(2): 60-71 (2015) - [j52]Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng:
Approximate Closest Community Search in Networks. Proc. VLDB Endow. 9(4): 276-287 (2015) - [j51]Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald, Mohamed A. Sharaf, Kostas Stefanidis:
Report on the Second International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2015). SIGMOD Rec. 44(4): 49-52 (2015) - [c143]Senjuti Basu Roy, Laks V. S. Lakshmanan, Rui Liu:
From Group Recommendations to Group Formation. SIGMOD Conference 2015: 1603-1616 - [c142]Laks V. S. Lakshmanan:
Social Network Analytics: Beyond the Obvious. Big-O(Q)/DMAH@VLDB 2015: 149-154 - [e6]Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald, Kostas Stefanidis:
Proceedings of the Second International Workshop on Exploratory Search in Databases and the Web, ExploreDB 2015, Melbourne, VIC, Australia, May 31 - June 04, 2015. ACM 2015, ISBN 978-1-4503-3740-3 [contents] - [i19]Sharan Vaswani, Laks V. S. Lakshmanan:
Influence Maximization with Bandits. CoRR abs/1503.00024 (2015) - [i18]Senjuti Basu Roy, Laks V. S. Lakshmanan, Rui Liu:
From Group Recommendations to Group Formation. CoRR abs/1503.03753 (2015) - [i17]Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng:
Approximate Closest Community Search in Networks. CoRR abs/1505.05956 (2015) - [i16]Wei Lu, Wei Chen, Laks V. S. Lakshmanan:
From Competition to Complementarity: Comparative Influence Diffusion and Maximization. CoRR abs/1507.00317 (2015) - 2014
- [j50]Wei Lu, Shanshan Chen, Keqian Li, Laks V. S. Lakshmanan:
Show Me the Money: Dynamic Recommendations for Revenue Maximization. Proc. VLDB Endow. 7(14): 1785-1796 (2014) - [j49]Min Xie, Laks V. S. Lakshmanan, Peter T. Wood:
Generating Top-k Packages via Preference Elicitation. Proc. VLDB Endow. 7(14): 1941-1952 (2014) - [j48]Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald, Kostas Stefanidis:
Report on the First International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2014). SIGMOD Rec. 43(2): 49-52 (2014) - [c141]Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios:
CAST: A Context-Aware Story-Teller for Streaming Social Content. CIKM 2014: 789-798 - [c140]Vincent Yun Lou, Smriti Bhagat, Laks V. S. Lakshmanan, Sharan Vaswani:
Modeling non-progressive phenomena for influence propagation. COSN 2014: 131-138 - [c139]Rui Chen, Min Xie, Laks V. S. Lakshmanan:
Thwarting Passive Privacy Attacks in Collaborative Filtering. DASFAA (2) 2014: 218-233 - [c138]Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald, Kostas Stefanidis:
Exploratory Search in Databases and the Web. EDBT/ICDT Workshops 2014: 158-159 - [c137]Laks V. S. Lakshmanan, Alex Thomo:
View-Based Tree-Language Rewritings for XML. FoIKS 2014: 270-289 - [c136]Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios:
Incremental cluster evolution tracking from highly dynamic network data. ICDE 2014: 3-14 - [c135]Wei Lu, Stratis Ioannidis, Smriti Bhagat, Laks V. S. Lakshmanan:
Optimal recommendations under attraction, aversion, and social influence. KDD 2014: 811-820 - [c134]Keqian Li, Wei Lu, Smriti Bhagat, Laks V. S. Lakshmanan, Cong Yu:
On social event organization. KDD 2014: 1206-1215 - [c133]Pei Lee, Laks V. S. Lakshmanan, Mitul Tiwari, Sam Shah:
Modeling impression discounting in large-scale recommender systems. KDD 2014: 1837-1846 - [c132]Yidan Liu, Min Xie, Laks V. S. Lakshmanan:
Recommending user generated item lists. RecSys 2014: 185-192 - [c131]Vignesh Veppur Sankaranarayanan, Junaed Sattar, Laks V. S. Lakshmanan:
Auto-play: A Data Mining Approach to ODI Cricket Simulation and Prediction. SDM 2014: 1064-1072 - [i15]Vincent Yun Lou, Smriti Bhagat, Laks V. S. Lakshmanan, Sharan Vaswani:
Modeling Non-Progressive Phenomena for Influence Propagation. CoRR abs/1408.6466 (2014) - [i14]Wei Lu, Shanshan Chen, Keqian Li, Laks V. S. Lakshmanan:
Show Me the Money: Dynamic Recommendations for Revenue Maximization. CoRR abs/1409.0080 (2014) - [i13]Çigdem Aslay, Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan:
Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret. CoRR abs/1412.1462 (2014) - 2013
- [b1]Wei Chen, Laks V. S. Lakshmanan, Carlos Castillo:
Information and Influence Propagation in Social Networks. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2013, ISBN 9781627051156, pp. 1-177 - [j47]Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan:
Data Cleaning and Query Answering with Matching Dependencies and Matching Functions. Theory Comput. Syst. 52(3): 441-482 (2013) - [j46]Min Xie, Laks V. S. Lakshmanan, Peter T. Wood:
IPS: An Interactive Package Configuration System for Trip Planning. Proc. VLDB Endow. 6(12): 1362-1365 (2013) - [j45]Fosca Giannotti, Laks V. S. Lakshmanan, Anna Monreale, Dino Pedreschi, Wendy Hui Wang:
Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases. IEEE Syst. J. 7(3): 385-395 (2013) - [j44]Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan, Suresh Venkatasubramanian:
On minimizing budget and time in influence propagation over social networks. Soc. Netw. Anal. Min. 3(2): 179-192 (2013) - [c130]Min Xie, Laks V. S. Lakshmanan, Peter T. Wood:
Efficient top-k query answering using cached views. EDBT 2013: 489-500 - [c129]Glenn S. Bevilacqua, Shealen Clare, Amit Goyal, Laks V. S. Lakshmanan:
Validating Network Value of Influencers by Means of Explanations. ICDM 2013: 967-972 - [c128]Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan:
The bang for the buck: fair competitive viral marketing from the host perspective. KDD 2013: 928-936 - [c127]Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios:
KeySee: supporting keyword search on evolving events in social streams. KDD 2013: 1478-1481 - [c126]Zeinab Abbassi, Laks V. S. Lakshmanan, Min Xie:
Fair Recommendations for Online Barter Exchange Networks. WebDB 2013: 43-48 - [c125]Mohsen Jamali, Laks V. S. Lakshmanan:
HeteroMF: recommendation in heterogeneous information networks using context dependent factor models. WWW 2013: 643-654 - [i12]Glenn S. Bevilacqua, Shealen Clare, Amit Goyal, Laks V. S. Lakshmanan:
Validating Network Value of Influencers by means of Explanations. CoRR abs/1310.5430 (2013) - [i11]Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios:
Event Evolution Tracking from Streaming Social Posts. CoRR abs/1311.5978 (2013) - 2012
- [j43]Min Xie, Laks V. S. Lakshmanan, Peter T. Wood:
Composite recommendations: from items to packages. Frontiers Comput. Sci. 6(3): 264-277 (2012) - [j42]Francesco Bonchi, Pooya Esfandiar, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan:
Fast Matrix Computations for Pairwise and Columnwise Commute Times and Katz Scores. Internet Math. 8(1-2): 73-112 (2012) - [c124]Tianyu Li, Pirooz Chubak, Laks V. S. Lakshmanan, Rachel Pottinger:
Efficient extraction of ontologies from domain specific text corpora. CIKM 2012: 1537-1541 - [c123]Pei Lee, Laks V. S. Lakshmanan, Jeffrey Xu Yu:
On Top-k Structural Similarity Search. ICDE 2012: 774-785 - [c122]Wei Lu, Laks V. S. Lakshmanan:
Profit Maximization over Social Networks. ICDM 2012: 479-488 - [c121]Amit Goyal, Laks V. S. Lakshmanan:
RecMax: exploiting recommender systems for fun and profit. KDD 2012: 1294-1302 - [c120]Zeinab Bahmani, Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan:
Declarative Entity Resolution via Matching Dependencies and Answer Set Programs. KR 2012 - [c119]Fosca Giannotti, Laks V. S. Lakshmanan, Anna Monreale, Dino Pedreschi, Wendy Hui Wang:
Privacy-preserving Mining of Association Rules from Outsourced Transaction Databases. SEBD 2012: 233-242 - [c118]Smriti Bhagat, Amit Goyal, Laks V. S. Lakshmanan:
Maximizing product adoption in social networks. WSDM 2012: 603-612 - [e5]Silvana Castano, Panos Vassiliadis, Laks V. S. Lakshmanan, Mong-Li Lee:
Advances in Conceptual Modeling - ER 2012 Workshops CMS, ECDM-NoCoDA, MoDIC, MORE-BI, RIGiM, SeCoGIS, WISM, Florence, Italy, October 15-18, 2012. Proceedings. Lecture Notes in Computer Science 7518, Springer 2012, ISBN 978-3-642-33998-1 [contents] - [i10]Wei Lu, Laks V. S. Lakshmanan:
Profit Maximization over Social Networks. CoRR abs/1210.4211 (2012) - 2011
- [j41]Mohammad Khabbaz, Min Xie, Laks V. S. Lakshmanan:
TopRecs+: Pushing the Envelope on Recommender Systems. IEEE Data Eng. Bull. 34(2): 61-68 (2011) - [j40]Min Xie, Laks V. S. Lakshmanan, Peter T. Wood:
Efficient Rank Join with Aggregation Constraints. Proc. VLDB Endow. 4(11): 1201-1212 (2011) - [j39]Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan:
A Data-Based Approach to Social Influence Maximization. Proc. VLDB Endow. 5(1): 73-84 (2011) - [j38]Francesco Bonchi, Laks V. S. Lakshmanan, Wendy Hui Wang:
Trajectory anonymity in publishing personal mobility data. SIGKDD Explor. 13(1): 30-42 (2011) - [c117]Ali Moosavi, Tianyu Li, Laks V. S. Lakshmanan, Rachel Pottinger:
ONTECTAS: Bridging the Gap between Collaborative Tagging Systems and Structured Data. CAiSE 2011: 436-451 - [c116]Xueyao Liang, Min Xie, Laks V. S. Lakshmanan:
Adding structure to top-k: from items to expansions. CIKM 2011: 1699-1708 - [c115]Mohammad Khabbaz, Laks V. S. Lakshmanan:
TopRecs: Top-k algorithms for item-based collaborative filtering. EDBT 2011: 213-224 - [c114]Min Xie, Laks V. S. Lakshmanan, Peter T. Wood:
CompRec-Trip: A composite recommendation system for travel planning. ICDE 2011: 1352-1355 - [c113]Amit Goyal, Wei Lu, Laks V. S. Lakshmanan:
SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model. ICDM 2011: 211-220 - [c112]Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan:
Data cleaning and query answering with matching dependencies and matching functions. ICDT 2011: 268-279 - [c111]Su Chen, Xin Luna Dong, Laks V. S. Lakshmanan, Divesh Srivastava:
We challenge you to certify your updates. SIGMOD Conference 2011: 481-492 - [c110]Amit Goyal, Wei Lu, Laks V. S. Lakshmanan:
CELF++: optimizing the greedy algorithm for influence maximization in social networks. WWW (Companion Volume) 2011: 47-48 - [p2]Fosca Giannotti, Laks V. S. Lakshmanan, Anna Monreale, Dino Pedreschi, Wendy Hui Wang:
Privacy-Preserving Data Mining from Outsourced Databases. Computers, Privacy and Data Protection 2011: 411-426 - [i9]Francesco Bonchi, Pooya Esfandiar, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan:
Fast matrix computations for pair-wise and column-wise commute times and Katz scores. CoRR abs/1104.3791 (2011) - [i8]Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan:
A Data-Based Approach to Social Influence Maximization. CoRR abs/1109.6886 (2011) - [i7]Mohammad Khabbaz, Smriti Bhagat, Laks V. S. Lakshmanan:
Finding Heavy Paths in Graphs: A Rank Join Approach. CoRR abs/1112.1117 (2011) - 2010
- [j37]Andrea Calì, Laks V. S. Lakshmanan, Davide Martinenghi:
Selected papers from the Logic in Databases Workshop 2008. J. Appl. Log. 8(2): 151-152 (2010) - [j36]Angela Bonifati, Elaine Qing Chang, Terence Ho, Laks V. S. Lakshmanan, Rachel Pottinger, Yongik Chung:
Schema mapping and query translation in heterogeneous P2P XML databases. VLDB J. 19(2): 231-256 (2010) - [j35]Klemens Böhm, Laks V. S. Lakshmanan:
Foreword. VLDB J. 19(6): 759-760 (2010) - [c109]Solmaz Kolahi, Laks V. S. Lakshmanan:
Exploiting Conflict Structures in Inconsistent Databases. ADBIS 2010: 320-335 - [c108]Min Xie, Laks V. S. Lakshmanan, Peter T. Wood:
Breaking out of the box of recommendations: from items to packages. RecSys 2010: 151-158 - [c107]Pooya Esfandiar, Francesco Bonchi, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan, Byung-Won On:
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks. WAW 2010: 132-145 - [c106]Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan:
Learning influence probabilities in social networks. WSDM 2010: 241-250 - [e4]Alberto H. F. Laender, Laks V. S. Lakshmanan:
Proceedings of the 4th Alberto Mendelzon International Workshop on Foundations of Data Management, Buenos Aires, Argentina, May 17-20, 2010. CEUR Workshop Proceedings 619, CEUR-WS.org 2010 [contents] - [i6]Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan:
Approximation Analysis of Influence Spread in Social Networks. CoRR abs/1008.2005 (2010) - [i5]Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan:
Data Cleaning and Query Answering with Matching Dependencies and Matching Functions. CoRR abs/1008.3743 (2010)
2000 – 2009
- 2009
- [j34]Sihem Amer-Yahia, Laks V. S. Lakshmanan, Sergei Vassilvitskii, Cong Yu:
Battling Predictability and Overconcentration in Recommender Systems. IEEE Data Eng. Bull. 32(4): 33-40 (2009) - [j33]Andrea Calì, Laks V. S. Lakshmanan, Davide Martinenghi:
Logic in databases: report on the LID 2008 workshop. SIGMOD Rec. 38(3): 44-49 (2009) - [j32]Zhenjie Zhang, Laks V. S. Lakshmanan, Anthony K. H. Tung:
On domination game analysis for microeconomic data mining. ACM Trans. Knowl. Discov. Data 2(4): 18:1-18:27 (2009) - [c105]Sihem Amer-Yahia, Laks V. S. Lakshmanan, Cong Yu:
SocialScope: Enabling Information Discovery on Social Content Sites. CIDR 2009 - [c104]Roman Yarovoy, Francesco Bonchi, Laks V. S. Lakshmanan, Wendy Hui Wang:
Anonymizing moving objects: how to hide a MOB in a crowd? EDBT 2009: 72-83 - [c103]Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia:
It takes variety to make a world: diversification in recommender systems. EDBT 2009: 368-378 - [c102]Zeinab Abbassi, Laks V. S. Lakshmanan:
On Efficient Recommendations for Online Exchange Markets. ICDE 2009: 712-723 - [c101]Wenfei Fan, Floris Geerts, Laks V. S. Lakshmanan, Ming Xiong:
Discovering Conditional Functional Dependencies. ICDE 2009: 1231-1234 - [c100]Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia:
Recommendation Diversification Using Explanations. ICDE 2009: 1299-1302 - [c99]Amit Goyal, Byung-Won On, Francesco Bonchi, Laks V. S. Lakshmanan:
GuruMine: A Pattern Mining System for Discovering Leaders and Tribes. ICDE 2009: 1471-1474 - [c98]Solmaz Kolahi, Laks V. S. Lakshmanan:
On approximating optimum repairs for functional dependency violations. ICDT 2009: 53-62 - [c97]Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Sergei Vassilvitskii, Cong Yu:
Getting recommender systems to think outside the box. RecSys 2009: 285-288 - [r1]Laks V. S. Lakshmanan:
XML Tree Pattern, XML Twig Query. Encyclopedia of Database Systems 2009: 3637-3640 - [i4]Sihem Amer-Yahia, Laks V. S. Lakshmanan, Cong Yu:
SocialScope: Enabling Information Discovery on Social Content Sites. CoRR abs/0909.2058 (2009) - 2008
- [j31]Sihem Amer-Yahia, Michael Benedikt, Laks V. S. Lakshmanan, Julia Stoyanovich:
Efficient network aware search in collaborative tagging sites. Proc. VLDB Endow. 1(1): 710-721 (2008) - [j30]Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Ramesh:
On disclosure risk analysis of anonymized itemsets in the presence of prior knowledge. ACM Trans. Knowl. Discov. Data 2(3): 13:1-13:44 (2008) - [c96]Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan:
Discovering leaders from community actions. CIKM 2008: 499-508 - [c95]Laks V. S. Lakshmanan, Alexander Russakovsky, Vaishnavi Sashikanth:
What-if OLAP Queries with Changing Dimensions. ICDE 2008: 1334-1336 - [c94]Zeinab Abbassi, Laks V. S. Lakshmanan:
Offline matching approximation algorithms in exchange markets. WWW 2008: 1187-1188 - [i3]Irini Fundulaki, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
Personalizing XML Full Text Search in PIMENTO. Ranked XML Querying 2008 - 2007
- [c93]Chaitanya Gokhale, Nitin Gupta, Pranav Kumar, Laks V. S. Lakshmanan, Raymond T. Ng, B. Aditya Prakash:
Complex Group-By Queries for XML. ICDE 2007: 646-655 - [c92]Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Ramesh:
Preservation Of Patterns and Input-Output Privacy. ICDE 2007: 696-705 - [c91]Sihem Amer-Yahia, Irini Fundulaki, Laks V. S. Lakshmanan:
Personalizing XML Search in PIMENTO. ICDE 2007: 906-915 - [c90]Nuwee Wiwatwattana, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava:
X3: A Cube Operator for XML OLAP. ICDE 2007: 916-925 - [p1]Wendy Hui Wang, Divesh Srivastava, Laks V. S. Lakshmanan, SungRan Cho, Sihem Amer-Yahia:
Optimizing Tree Pattern Queries over Secure XML Databases. Secure Data Management in Decentralized Systems 2007: 127-165 - 2006
- [j29]Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
An Erratum on "Pushing Convertible Constraints in Frequent Itemset Mining". Data Min. Knowl. Discov. 12(1): 119 (2006) - [j28]Toon Calders, Laks V. S. Lakshmanan, Raymond T. Ng, Jan Paredaens:
Expressive power of an algebra for data mining. ACM Trans. Database Syst. 31(4): 1169-1214 (2006) - [c89]Nuwee Wiwatwattana, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava:
Making Designer Schemas with Colors. ICDE 2006: 15 - [c88]Wendy Hui Wang, Laks V. S. Lakshmanan:
Efficient Secure Query Evaluation over Encrypted XML Databases. VLDB 2006: 127-138 - [c87]Laks V. S. Lakshmanan, Wendy Hui Wang, Zheng (Jessica) Zhao:
Answering Tree Pattern Queries Using Views. VLDB 2006: 571-582 - [c86]Wendy Hui Wang, Laks V. S. Lakshmanan:
Probabilistic privacy analysis of published views. WPES 2006: 81-84 - [e3]Laks V. S. Lakshmanan, Prasan Roy, Anthony K. H. Tung:
Proceedings of the 13th International Conference on Management of Data, December 14-16, 2006, Delhi, India. Tata McGraw-Hill Publishing Company Limited 2006, ISBN 0-07-063374-6 [contents] - 2005
- [c85]Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Ramesh:
To Do or Not To Do: The Dilemma of Disclosing Anonymized Data. SIGMOD Conference 2005: 61-72 - [c84]Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng:
MDL Summarization with Holes. VLDB 2005: 433-444 - [c83]Angela Bonifati, Elaine Qing Chang, Terence Ho, Laks V. S. Lakshmanan, Rachel Pottinger:
HePToX: Marrying XML and Heterogeneity in Your P2P Databases. VLDB 2005: 1267-1270 - [c82]Sihem Amer-Yahia, Irini Fundulaki, Prateek Jain, Laks V. S. Lakshmanan:
Personalizing XML Text Search in PimenT. VLDB 2005: 1310-1313 - [i2]Angela Bonifati, Elaine Qing Chang, Terence Ho, Laks V. S. Lakshmanan:
HepToX: Heterogeneous Peer to Peer XML Databases. CoRR abs/cs/0506002 (2005) - 2004
- [j27]Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
Pushing Convertible Constraints in Frequent Itemset Mining. Data Min. Knowl. Discov. 8(3): 227-252 (2004) - [j26]Ruth Yuee Zhang, Laks V. S. Lakshmanan, Ruben H. Zamar:
Extracting relational data from HTML repositories. SIGKDD Explor. 6(2): 5-13 (2004) - [j25]Ting Yu, Divesh Srivastava, Laks V. S. Lakshmanan, H. V. Jagadish:
A compressed accessibility map for XML. ACM Trans. Database Syst. 29(2): 363-402 (2004) - [c81]Stelios Paparizos, Yuqing Wu, Laks V. S. Lakshmanan, H. V. Jagadish:
Tree Logical Classes for Efficient Evaluation of XQuery. SIGMOD Conference 2004: 71-82 - [c80]Sihem Amer-Yahia, Laks V. S. Lakshmanan, Shashank Pandit:
FleXPath: Flexible Structure and Full-Text Querying for XML. SIGMOD Conference 2004: 83-94 - [c79]H. V. Jagadish, Laks V. S. Lakshmanan, Monica Scannapieco, Divesh Srivastava, Nuwee Wiwatwattana:
Colorful XML: One Hierarchy Isn't Enough. SIGMOD Conference 2004: 251-262 - [c78]Laks V. S. Lakshmanan, Ganesh Ramesh, Wendy Hui Wang, Zheng (Jessica) Zhao:
On Testing Satisfiability of Tree Pattern Queries. VLDB 2004: 120-131 - 2003
- [j24]Laks V. S. Lakshmanan, Fereidoon Sadri:
Information Integration and the Semantic Web. IEEE Data Eng. Bull. 26(4): 19-25 (2003) - [j23]Michael O. Akinde, Michael H. Böhlen, Theodore Johnson, Laks V. S. Lakshmanan, Divesh Srivastava:
Efficient OLAP query processing in distributed data warehouses. Inf. Syst. 28(1-2): 111-135 (2003) - [j22]Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng:
Efficient dynamic mining of constrained frequent sets. ACM Trans. Database Syst. 28(4): 337-389 (2003) - [c77]Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan:
Mining unexpected rules by pushing user dynamics. KDD 2003: 246-255 - [c76]Laks V. S. Lakshmanan, Fereidoon Sadri:
Interoperability on XML Data. ISWC 2003: 146-163 - [c75]Laks V. S. Lakshmanan, Jian Pei, Yan Zhao:
QC-Trees: An Efficient Summary Structure for Semantic OLAP. SIGMOD Conference 2003: 64-75 - [c74]Laks V. S. Lakshmanan, Jian Pei, Yan Zhao:
SOCQET: Semantic OLAP with Compressed Cube and Summarization. SIGMOD Conference 2003: 658 - [c73]SungRan Cho, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Divesh Srivastava:
LockX: A System for Efficiently Querying Secure XML. SIGMOD Conference 2003: 669 - [c72]Stelios Paparizos, Shurug Al-Khalifa, Adriane Chapman, H. V. Jagadish, Laks V. S. Lakshmanan, Andrew Nierman, Jignesh M. Patel, Divesh Srivastava, Nuwee Wiwatwattana, Yuqing Wu, Cong Yu:
TIMBER: A Native System for Querying XML. SIGMOD Conference 2003: 672 - [c71]Zhimin Chen, H. V. Jagadish, Laks V. S. Lakshmanan, Stelios Paparizos:
From Tree Patterns to Generalized Tree Patterns: On Efficient Evaluation of XQuery. VLDB 2003: 237-248 - [c70]Laks V. S. Lakshmanan, Jian Pei, Yan Zhao:
Efficacious Data Cube Exploration by Semantic Summarization and Compression. VLDB 2003: 1125-1128 - [c69]Laks V. S. Lakshmanan, Fereidoon Sadri:
XML Interoperability. WebDB 2003: 19-24 - [i1]Laks V. S. Lakshmanan, Fereidoon Sadri:
On A Theory of Probabilistic Deductive Databases. CoRR cs.DB/0312043 (2003) - 2002
- [j21]Carson Kai-Sang Leung, Laks V. S. Lakshmanan, Raymond T. Ng:
Exploiting succinct constraints using FP-trees. SIGKDD Explor. 4(1): 40-49 (2002) - [j20]H. V. Jagadish, Shurug Al-Khalifa, Adriane Chapman, Laks V. S. Lakshmanan, Andrew Nierman, Stelios Paparizos, Jignesh M. Patel, Divesh Srivastava, Nuwee Wiwatwattana, Yuqing Wu, Cong Yu:
TIMBER: A native XML database. VLDB J. 11(4): 274-291 (2002) - [j19]Sihem Amer-Yahia, SungRan Cho, Laks V. S. Lakshmanan, Divesh Srivastava:
Tree pattern query minimization. VLDB J. 11(4): 315-331 (2002) - [c68]Laks V. S. Lakshmanan, Sailaja Parthasarathy:
On Efficient Matching of Streaming XML Documents and Queries. EDBT 2002: 142-160 - [c67]Michael O. Akinde, Michael H. Böhlen, Theodore Johnson, Laks V. S. Lakshmanan, Divesh Srivastava:
Efficient OLAP Query Processing in Distributed Data Warehouses. EDBT 2002: 336-353 - [c66]Stelios Paparizos, Shurug Al-Khalifa, H. V. Jagadish, Laks V. S. Lakshmanan, Andrew Nierman, Divesh Srivastava, Yuqing Wu:
Grouping in XML. EDBT Workshops 2002: 128-147 - [c65]Michael O. Akinde, Michael H. Böhlen, Theodore Johnson, Laks V. S. Lakshmanan, Divesh Srivastava:
Efficient OLAP Query Processing in Distributed Data Warehouse. ICDE 2002: 262 - [c64]Ting Yu, Divesh Srivastava, Laks V. S. Lakshmanan, H. V. Jagadish:
Compressed Accessibility Map: Efficient Access Control for XML. VLDB 2002: 478-489 - [c63]SungRan Cho, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Divesh Srivastava:
Optimizing the Secure Evaluation of Twig Queries. VLDB 2002: 490-501 - [c62]Laks V. S. Lakshmanan, Raymond T. Ng, Christine Xing Wang, Xiaodong Zhou, Theodore Johnson:
The Generalized MDL Approach for Summarization. VLDB 2002: 766-777 - [c61]Laks V. S. Lakshmanan, Jian Pei, Jiawei Han:
Quotient Cube: How to Summarize the Semantics of a Data Cube. VLDB 2002: 778-789 - [e2]Laks V. S. Lakshmanan:
Design and Management of Data Warehouses 2002, Proceedings of the 4th Intl. Workshop DMDW'2002, Toronto, Canada, May 27, 2002. CEUR Workshop Proceedings 58, CEUR-WS.org 2002 [contents] - 2001
- [j18]Kenneth A. Ross, James R. Hamilton, Laks V. S. Lakshmanan, Limsoon Wong:
Reminiscences on Influential Papers. SIGMOD Rec. 30(4): 90-91 (2001) - [j17]Laks V. S. Lakshmanan, Nematollaah Shiri:
A Parametric Approach to Deductive Databases with Uncertainty. IEEE Trans. Knowl. Data Eng. 13(4): 554-570 (2001) - [j16]Laks V. S. Lakshmanan, Fereidoon Sadri, Subbu N. Subramanian:
SchemaSQL: An extension to SQL for multidatabase interoperability. ACM Trans. Database Syst. 26(4): 476-519 (2001) - [j15]Laks V. S. Lakshmanan, Fereidoon Sadri:
On a theory of probabilistic deductive databases. Theory Pract. Log. Program. 1(1): 5-42 (2001) - [c60]H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava, Keith Thompson:
TAX: A Tree Algebra for XML. DBPL 2001: 149-164 - [c59]Gösta Grahne, Laks V. S. Lakshmanan, Xiaohong Wang, Ming Hao Xie:
On Dual Mining: From Patterns to Circumstances, and Back. ICDE 2001: 195-204 - [c58]Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
Mining Frequent Item Sets with Convertible Constraints. ICDE 2001: 433-442 - [c57]Anthony K. H. Tung, Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han:
Constraint-based clustering in large databases. ICDT 2001: 405-419 - [c56]Jiawei Han, Laks V. S. Lakshmanan, Jian Pei:
Scalable frequent-pattern mining methods: an overview. KDD Tutorials 2001 - [c55]Sihem Amer-Yahia, SungRan Cho, Laks V. S. Lakshmanan, Divesh Srivastava:
Minimization of Tree Pattern Queries. SIGMOD Conference 2001: 497-508 - 2000
- [j14]Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng:
The Segment Support Map: Scalable Mining of Frequent Itemsets. SIGKDD Explor. 2(2): 21-27 (2000) - [c54]Sihem Amer-Yahia, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava:
On Bounding-Schemas for LDAP Directories. EDBT 2000: 287-301 - [c53]Gösta Grahne, Laks V. S. Lakshmanan, Xiaohong Wang:
Efficient Mining of Constrained Correlated Sets. ICDE 2000: 512-521 - [c52]Anthony K. H. Tung, Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han:
Geo-Spatial Clustering with User-Specified Constraints. MDM/KDD 2000: 1-7 - [c51]Theodore Johnson, Laks V. S. Lakshmanan, Raymond T. Ng:
The 3W Model and Algebra for Unified Data Mining. VLDB 2000: 21-32
1990 – 1999
- 1999
- [j13]Jiawei Han, Laks V. S. Lakshmanan, Raymond T. Ng:
Constraint-Based Multidimensional Data Mining. Computer 32(8): 46-50 (1999) - [c50]Gösta Grahne, Laks V. S. Lakshmanan:
On the Difference between Navigating Semi-structured Data and Querying It. DBPL 1999: 271-296 - [c49]Gösta Grahne, Laks V. S. Lakshmanan, Xiaohong Wang:
Interactive Mining of Correlations - A Constraint Perspective. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 - [c48]Theodore Johnson, Raymond T. Ng, Laks V. S. Lakshmanan:
Towards a Toolkit for Data Analysis and Mining. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 - [c47]Devavrat Shah, Laks V. S. Lakshmanan, Krithi Ramamritham, S. Sudarshan:
Interestingness and Pruning of Mined Patterns. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 - [c46]H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava:
Snakes and Sandwiches: Optimal Clustering Strategies for a Data Warehouse. SIGMOD Conference 1999: 37-48 - [c45]H. V. Jagadish, Laks V. S. Lakshmanan, Tova Milo, Divesh Srivastava, Dimitra Vista:
Querying Network Directories. SIGMOD Conference 1999: 133-144 - [c44]Laks V. S. Lakshmanan, Raymond T. Ng, Jiawei Han, Alex Pang:
Optimization of Constrained Frequent Set Queries with 2-variable Constraints. SIGMOD Conference 1999: 157-168 - [c43]Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Teresa Mah:
Exploratory Mining via Constrained Frequent Set Queries. SIGMOD Conference 1999: 556-558 - [c42]Laks V. S. Lakshmanan, Fereidoon Sadri, Subbu N. Subramanian:
On Efficiently Implementing SchemaSQL on an SQL Database System. VLDB 1999: 471-482 - [c41]H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava:
What can Hierarchies do for Data Warehouses? VLDB 1999: 530-541 - 1998
- [j12]Raymond T. Ng, Jiawei Han, Laks V. S. Lakshmanan:
Editorial. Data Min. Knowl. Discov. 2(3): 231-232 (1998) - [c40]Laks V. S. Lakshmanan, Krishnaprasad Thirunarayan:
Declarative Frameworks for Inheritance. Logics for Databases and Information Systems 1998: 357-388 - [c39]Laks V. S. Lakshmanan, Subbu N. Subramanian, Nita Goyal, Ravi Krishnamurthy:
On Query Spreadsheets. ICDE 1998: 134-141 - [c38]Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Alex Pang:
Exploratory Mining and Pruning Optimizations of Constrained Association Rules. SIGMOD Conference 1998: 13-24 - [c37]Frédéric Gingras, Laks V. S. Lakshmanan:
nD-SQL: A Multi-Dimensional Language for Interoperability and OLAP. VLDB 1998: 134-145 - 1997
- [j11]Laks V. S. Lakshmanan, Fereidoon Sadri:
Uncertain Deductive Databases: A Hybrid Approach. Inf. Syst. 22(8): 483-508 (1997) - [j10]Laks V. S. Lakshmanan, Fereidoon Sadri, Iyer N. Subramanian:
Logic and Algebraic Languages for Interoperability in Multidatabase Systems. J. Log. Program. 33(2): 101-149 (1997) - [j9]Laks V. S. Lakshmanan:
Preface. Theor. Comput. Sci. 171(1-2): 1-2 (1997) - [j8]Laks V. S. Lakshmanan, Nicola Leone, Robert B. Ross, V. S. Subrahmanian:
ProbView: A Flexible Probabilistic Database System. ACM Trans. Database Syst. 22(3): 419-469 (1997) - [c36]Frédéric Gingras, Laks V. S. Lakshmanan, Iyer N. Subramanian, Despina Papoulis, Nematollaah Shiri:
Languages for Multi-database Interoperability. SIGMOD Conference 1997: 536-538 - [c35]Marc Gyssens, Laks V. S. Lakshmanan:
A Foundation for Multi-dimensional Databases. VLDB 1997: 106-115 - 1996
- [c34]Alanoly Andrews, Nematollaah Shiri, Laks V. S. Lakshmanan, Iyer N. Subramanian:
On Implementing SchemaLog - A Database Programming Language. CIKM 1996: 309-316 - [c33]Laks V. S. Lakshmanan, Nematollaah Shiri:
A Parametric Approach to Deductive Databases with Uncertainty. Logic in Databases 1996: 61-81 - [c32]Marc Gyssens, Laks V. S. Lakshmanan, Iyer N. Subramanian:
Tables as a Paradigm for Querying and Restructuring. PODS 1996: 93-103 - [c31]Laks V. S. Lakshmanan, Fereidoon Sadri, Iyer N. Subramanian:
A Declarative Language for Querying and Restructuring the WEB. RIDE-NDS 1996: 12-21 - [c30]Laks V. S. Lakshmanan, Fereidoon Sadri, Iyer N. Subramanian:
SchemaSQL - A Language for Interoperability in Relational Multi-Database Systems. VLDB 1996: 239-250 - 1995
- [j7]Jiawei Han, Laks V. S. Lakshmanan:
Evaluation of Regular Nonlinear Recursions by Deductive Database Techniques. Inf. Syst. 20(5): 419-441 (1995) - [c29]Hasan M. Jamil, Laks V. S. Lakshmanan:
An Object-Oriented Front-end for Deductive Databases. AMAST 1995: 581-584 - [c28]Laks V. S. Lakshmanan, Iyer N. Subramanian, Despina Papoulis, Nematollaah Shiri:
A Declarative System for Multi-database Interoperability. AMAST 1995: 586-589 - [c27]Laks V. S. Lakshmanan, Rokia Missaoui:
Pushing Semantics Inside Recursion: A General Framework for Semantic Optimization of Recursive Queries. ICDE 1995: 211-220 - [c26]Hasan M. Jamil, Laks V. S. Lakshmanan:
A Declarative Semantics for Behavioral Inheritance and Conflict Resolution. ILPS 1995: 130-144 - 1994
- [j6]V. S. Lakshmanan:
On Three-Valued Autoepistemic Reasoning and the Semantics of Logic Programs. Methods Log. Comput. Sci. 1(1): 77-110 (1994) - [j5]Fangqing Dong, Laks V. S. Lakshmanan:
Intuitionistic Interpretation of Deductive Databases with Incomplete Information. Theor. Comput. Sci. 133(2): 267-306 (1994) - [c25]Laks V. S. Lakshmanan, Fereidoon Sadri:
Modeling Uncertainty in Deductive Databases. DEXA 1994: 724-733 - [c24]Laks V. S. Lakshmanan:
An Epistemic Foundation for Logic Programming with Uncertainty. FSTTCS 1994: 89-100 - [c23]Laks V. S. Lakshmanan, Fereidoon Sadri:
Probabilistic Deductive Databases. ILPS 1994: 254-268 - 1993
- [j4]N. Chandrasekharan, Laks V. S. Lakshmanan, Muralidhar Medidi:
Efficient Parallel Algorithms for Finding Chordless Cycles in Graphs. Parallel Process. Lett. 3: 165-170 (1993) - [c22]Laks V. S. Lakshmanan, Fereidoon Sadri, Iyer N. Subramanian:
On the Logical Foundations of Schema Integration and Evolution in Heterogeneous Database Systems. DOOD 1993: 81-100 - [c21]Laks V. S. Lakshmanan, Karima Ashraf, Jiawei Han:
Homomorphic Tree Embeddings and Their Applications to Recursive Program Optimization. LICS 1993: 344-353 - [c20]Fangqing Dong, Laks V. S. Lakshmanan:
Canonical Kripke Models and The Intuitonistic Semantics of Logic Programs (Extended Abstract). LPNMR 1993: 437-456 - [c19]Fangqing Dong, Laks V. S. Lakshmanan:
A Deductive Approach to Hypothetical Query Answering. ILPS 1993: 609-628 - [c18]Jiawei Han, Laks V. S. Lakshmanan:
Evaluation of Regular Nonlinear Recursive Programs. ILPS 1993: 648 - [c17]Laks V. S. Lakshmanan, Heather L. Johnstone:
A Relational Data Model for Manipulating Probabilistic Knowledge. SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems 1993: 138-152 - [c16]Laks V. S. Lakshmanan:
Evolution of Intelligent Database Systems: A Personal Perspective. SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems 1993: 189-208 - [e1]Vangalur S. Alagar, Laks V. S. Lakshmanan, Fereidoon Sadri:
Formal Methods in Databases and Software Engineering, Proceedings of the Workshop on Formal Methods in Databases and Software Engineering, Montreal, Canada, 15-16 May 1992. Workshops in Computing, Springer 1993, ISBN 3-540-19812-1 [contents] - 1992
- [j3]R. Govindarajan, Sheng Yu, V. S. Lakshmanan:
Attempting guards in parallel: A data flow approach to execute generalized guarded commands. Int. J. Parallel Program. 21(4): 225-268 (1992) - [c15]Laks V. S. Lakshmanan, Daniel A. Nonen:
On Querying Temporal Deductive Databases. Formal Methods in Databases and Software Engineering 1992: 158-174 - [c14]Fangqing Dong, Laks V. S. Lakshmanan:
Intuitionistic Interpretation of Deductive Databases with Incomplete Information. Formal Methods in Databases and Software Engineering 1992: 175-192 - [c13]Laks V. S. Lakshmanan, Daniel A. Nonen:
Superfiniteness of Query Answers in Deductive Databases: An Automata-Theoretic Approach. FSTTCS 1992: 176-190 - [c12]Laks V. S. Lakshmanan, Rokia Missaoui:
On Semantic Query Optimization in Deductive Databases. ICDE 1992: 368-375 - [c11]Fangqing Dong, Laks V. S. Lakshmanan:
Deductive Databases with Incomplete Information. JICSLP 1992: 303-317 - 1991
- [c10]V. S. Lakshmanan, C. H. Yim:
Can Filters do Magic for Deductive Databases? ALPUK 1991: 174-189 - [c9]Laks V. S. Lakshmanan, Héctor J. Hernández:
Structural Query Optimization - A uniform Framework for Semantic Query Optimization in Deductive Databases. PODS 1991: 102-114 - 1990
- [c8]V. S. Lakshmanan:
Autoepistemic Logic Revisited: The Bias-Free Stable Semantics. LPNMR 1990: 73-80
1980 – 1989
- 1989
- [c7]V. S. Lakshmanan:
Query Evaluation with Null Values: How Complex is Completeness? FSTTCS 1989: 204-222 - [c6]V. S. Lakshmanan, Alberto O. Mendelzon:
Inductive Pebble Games and the Expressive Power of Datalog. PODS 1989: 301-310 - 1988
- [j2]V. S. Lakshmanan:
Split-Freedom and MVD-Intersection: A New Characterization of Multivalued Dependencies Having Conflict-Free Covers. Theor. Comput. Sci. 62(1-2): 105-122 (1988) - 1987
- [j1]V. S. Lakshmanan, C. E. Veni Madhavan:
An Algebraic Theory of Functional and Multivalued Dependencies in Relational Databases. Theor. Comput. Sci. 54: 103-128 (1987) - [c5]Alessandro D'Atri, Paolino Di Felice, V. S. Lakshmanan, Marina Moscarini:
On Global Context Dependencies and their Properties. MFDBS 1987: 71-79 - 1986
- [c4]V. S. Lakshmanan, C. E. Veni Madhavan:
Binary Decompositions and Acyclic Schemes. FSTTCS 1986: 214-238 - [c3]V. S. Lakshmanan:
Split-Freedom and MVD-Intersection: A New Characterization of Multivalued Dependencies Having Conflict-Free Covers. ICDT 1986: 221-241 - 1985
- [c2]V. S. Lakshmanan, C. E. Veni Madhavan:
The Implication Problem for Functional and Multivalued Dependencies: An Algebraic Approach. FSTTCS 1985: 303-328 - 1984
- [c1]V. S. Lakshmanan, N. Chandrasekharan, C. E. Veni Madhavan:
Recognition and Top-Down Generation of beta-Acyclic Database Schemes. FSTTCS 1984: 344-366
Coauthor Index
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