PUBLICATIONS 

An approximate publications list also appears at DBLP.

Citations statistics of most of my papers can be found at Google Scholar.

2021

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Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, and Gautam Das: Astrid: accurate selectivity estimation for string predicates using deep learning. In Proceedings of the VLDB Endowment PVLDB, 2021.

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Jees Augustine, Suraj Shetiya, Mohammadreza Esfandiari, Senjuti Basu Roy, Gautam Das: A Generalized Approach for Reducing Expensive Distance Calls for a Broad Class of Proximity Problems. To appear in ACM SIGMOD, 2021.

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Sona Hasani and Saravanan Thirumuruganathan, Nick Koudas, Gautam Das: Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions: To appear in ACM SIGMOD, 2021.

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(Invited Paper) Abolfazl Asudeh, Jees Augustine, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, and Divesh Srivastava: Scalable Signal Reconstruction for a Broad Range of Applications, Invited paper, in Communications of the ACM, 64(2): 106-115, 2021.

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Deepak Puthal, Saraju P. Mohanty, Elias Kougianos, and Gautam Das: When Do We Need the Blockchain? In IEEE Consumer Electron. Mag. 10(2): 53-56, 2021.

 

2020

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Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das. Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries. To appear as full paper in ACM SIGMOD 2020.

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(Conference Keynote) Gautam Das: Scalable Signal Reconstruction for a Broad Range of Applications by Leveraging Database Techniques, IEEE iSES 2020.

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Jees Augustine, Suraj Suresh Shetiya, Abolfazl Asudeh, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava. Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins. Demo paper, Accepted for publication in PVLDB, 2020

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Suraj Suresh Shetiya, Abolfazl Asudeh, Sadia Ahmed, Gautam Das. A Unified Optimization Algorithm for Solving ``Regret-Minimizing Representative'' Problems. To appear as full paper in PVLDB, 2020.

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Dylan Bertoni, Laura M. Sterni, Kevin D. Pereira, Gautam Das, and Amal Isaiah: Predicting polysomnographic severity thresholds in children using machine learning, In Pediatric Research (2020).

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A Isaiah, D Bertoni, KD Pereira, M Diaz-Abad, RB Mitchell, and G Das: Treatment-Related Changes in Heart Rate Variability in Children with Sleep Apnea. In Otolaryngology–Head and Neck Surgery 162 (5), 2020, 737-745

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Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida: Making AI Machines Work for Humans in FoW. In SIGMOD Rec. 49(2): 30-35, 2020.

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Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das: Approximate Query Processing for Data Exploration using Deep Generative Models. To appear as Full Paper in IEEE ICDE 2020.

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AK Tripathy, AG Mohapatra, SP Mohanty, E Kougianos, AM Joshi, and G Das: EasyBand: A Wearable for Safety-Aware Mobility during Pandemic Outbreak. In IEEE Consumer Electronics Magazine, 2020

 

2019

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Amal Isaiah, Meryam Shikara, Kevin D Pereira, Gautam Das: Refining screening questionnaires for prediction of sleep apnea severity in children. In Sleep and Breathing. 2019 Nov 27, Springer, doi: 10.1007/s11325‐019‐01964‐7.

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(Conference Keynote) Gautam Das: Humans in Data Science - How to Engineer Features for Machine Learning. Keynote presented at the IEEE co‐sponsored 18th Intl. Conference on Information Technology, ICIT 2019.

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Amal Isaiah, Kevin D. Pereira, and Gautam Das: Polysomnography and Treatment-Related Outcomes of Childhood Sleep Apnea. PEDIATRICS Volume 144, number 4, October 2019.

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Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das: ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse. Demo paper, in PVLDB 2019, 12(12): 1906-1909.

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(SIGMOD 2018 Research Highlights Award) A. Asudeh, J. Augustine, A. Nazi, S. Thirumuruganathan, N. Zhang, G. Das, and D. Srivastava: Efficient Signal Reconstruction for a Broad Range of Applications. In Special Issue of SIGMOD Record on SIGMOD 2018 Research Highlights, 48(1), pp. 42-49

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(Invited Paper) A. Asudeh, J. Augustine, A. Nazi, S. Thirumuruganathan, N. Zhang, G. Das, and D. Srivastava: Scalable Algorithms for Signal Reconstruction by Leveraging Similarity Joins. In Special Issue of The VLDB Journal 2019 on the Best of VLDB 2018.

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Md. Abdus Salam, M. Koone, S. B. Roy, S. Thirumuruganathan, G. Das: A Human-in-the-loop Attribute Design Framework for Classification. In TheWebConf (formerly WWW) 2019.

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Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das, and H. V. Jagadish: RRR: Rank-Regret Representative. In SIGMOD 2019.

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Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, and Gautam Das: Designing Fair Ranking Schemes. In SIGMOD 2019.

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Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das: MithraRanking: A System for Responsible Ranking Design. Demo paper, in SIGMOD 2019: 1913-1916.

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D. Puthal, S. P. Mohanty, P. Nanda, E. Kougianos, and G. Das: Proof-of-Authentication for Scalable Blockchain in Resource-Constrained Distributed Systems. Accepted in Proceedings of the 37th IEEE International Conference on Consumer Electronics, ICCE 2019.

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Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das: Maximizing Gain Over Flexible Attributes In Peer to Peer Marketplaces. Accepted for publication in PAKDD 2019.

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Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, and Gautam Das: Optimized group formation for solving collaborative tasks, In VLDB Journal 28(1): 1-23, 2019

 

2018

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J. Z. Bakdash, S. Hutchinson, E. G. Zaroukian, L. R. Marusich, S. Thirumuruganathan, C. Sample, B. Hoffman, and G. Das: Malware in the Future? Forecasting of Analyst Detection of Cyber Events. Accepted for publication in the Journal of Cybersecurity, 2018.

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Abolfazl Asudeh, Azade Nazi, Jees Augustine, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava: Leveraging Similarity Joins for Signal Reconstruction. In PVLDB 2018.

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Sona Hasani, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das: Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse. In PVLDB 2018.

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Yeshwanth Gunasekaran, Md Farhadur Rahman, Sona Hasani, Nan Zhang, Gautam Das: DBLOC: Density Based Clustering over LOCation Based Services. Demo paper, in SIGMOD 2018.

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Yeshwanth Gunasekaran, Abolfazl Asudeh, Sona Hasani, Nan Zhang, Ali Jaoua, Gautam Das: QR2: A Third-party Query Reranking Service Over Web Databases, Demo paper, in IEEE ICDE 2018.

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Deepak Puthal, Nisha Malik, Saraju P. Mohanty, Elias Kougianos, Gautam Das: Everything You Wanted to Know About the Blockchain: Its Promise, Components, Processes, and Problems. In IEEE Consumer Electronics Magazine 7(4): 6-14 (2018)

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Sadia Ahmed , Sona Hasani, Mary Koone, Saravanan Thirumuruganathan,Montserrat Diaz-Abad, Ron Mitchell, Amal Isaiah, Gautam Das: An Empirical Study of Questionnaires for the Diagnosis of Pediatric Obstructive Sleep Apnea. Proceedings of EMBC 2018.

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Sihem Amer-Yahia, Senjuti Basu Roy, Gautam Das, Ioanna Lykourentzou, Habibur Rahman, Saravanan Thirumuruganathan: Human Factors Modeling in Crowdsourcing. In Encyclopedia of Database Systems (2nd ed.) 2018

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Sihem Amer-Yahia, Mahashweta Das, Gautam Das, Saravanan Thirumuruganathan, Cong Yu: Structure Analytics in Social Media. In Encyclopedia of Database Systems (2nd ed.) 2018

 

2017

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Md. Farhad Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das: Efficient Computation of Subspace Skyline over Categorical Domains. Proceedings of CIKM, 2017.

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Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das: Efficient Computation of Regret-Ratio Minimizing Set: A Compact Maxima Representative. Proceedings of the ACM SIGMOD, 2017.

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Eman Rezk, Zainab Awan, Fahad Islam, Ali Jaoua, Somaya Al-Maadeed, Nan Zhang, Gautam Das, Nasir M. Rajpoot: Conceptual data sampling for breast cancer histology image classification. In Comp. in Bio. and Med. 89: 59-67 (2017).

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M. F. Rahman, W. Liu, S. Bin Suhaim, S. Thirumuruganathan, N. Zhang and G. Das: HDBSCAN: Density based Clustering over Location Based Services. Proceedings of the IEEE ICDE, 2017.

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S. Bin Suhaim, N. Zhang, G. Das and A. Jaoua: HDBExpDetector: Aggregate Sudden-Change Detector over Dynamic Web Databases. Demo paper, IEEE ICDE, 2017.

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(Keynote Lecture) Gautam Das: Deep Web Mining. In IEEE ICCA, 2017.

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(Invited Paper) Azade Nazi, Abolfazl Asudeh, Gautam Das, Nan Zhang, Ali Jaoua: Mobiface: Mobile App for Faceted Search over Hidden Web Databases. Invited book chapter in Recent Trends in Computer Applications, Springer Verlag, 2018.

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Habibur Rahman, Senjuti Basu Roy, Gautam Das: A Probabilistic Framework for Estimating Pairwise Distances Through Crowdsourcing. Proceedings of EDBT, 2017.

 

2016

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(Invited Paper) Gautam Das: Aggregate Tracking over Dynamic Deep Web Databases. BIG-PUBSUB 2016 Workshop held in conjunction with ACM DEBS 2016.

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Davide Mottin, Alice Marascu, Senjuti Basu Roy, Themis Palpanas, Yannis Velegrakis, Gautam Das: A Holistic and Principled Approach for the Empty-Answer Problem, In VLDB Journal 2016.

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Abolfazl Asudeh, Nan Zhang, Gautam Das: Query Reranking As A Service. In PVLDB, 2016.

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Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das: Discovering the Skyline of Web Databases. In PVLDB, 2016.

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Rajeshkumar Kannapalli, Azade Nazi, Mahashweta Das, Gautam Das: AD-WIRE: Add-on for Web Item Reviewing System. Demo paper, in PVLDB, 2016.

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Kosetsu Ikeda, Atsuyuki Morishima, Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, and Gautam Das: Collaborative Crowdsourcing with Crowd4U. Demo paper, in PVLDB, 2016.

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M. Farhad Rahman, Saad Bin Suhaim, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das: ANALOC: Efficient ANAlytics over LOCation Based Services. Demo paper, in IEEE ICDE 2016.

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Zhuojie Zhou, Nan Zhang, Zhiguo Gong, Gautam Das: Faster Random Walks By Rewiring Online Social Networks On-The-Fly. In ACM Transactions on Database Systems (TODS), 2015.

 

2015

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(Invited Paper) Yachao Lu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das: Hidden Database Research and Analytics (HYDRA) System. In IEEE Data Engineering Bulletin, 38(3), 2015.

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Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das: Task Assignment Optimization in Collaborative Crowdsourcing. To appear in ICDM 2015.

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(Invited Paper) Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Gautam Das. Querying Hidden Attributes in an Online Community Network with Social Sensing Applications. In Proc. SocialSens 2015, held in conjunction with IEEE MASS 2015.

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(Keynote Lecture) Gautam Das: Principled Optimization Frameworks for Query Reformulation of Database Queries. In ExploreDB 2015, held in conjunction with SIGMOD 2015.

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Weimo Liu, M. Farhad Rahman, Saravanan Thirumuruganathan, Nan Zhang, and Gautam Das: Aggregate Estimations over Location Based Services. In PVLDB 2015.

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Mahashweta Das and Gautam Das: Structured Analytics in Social Media. Tutorial, in PVLDB 2015.

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Habibur Rahman, Saravanan Thirumuruganathan, Senjuti Basu Roy, Sihem Amer-Yahia, and Gautam Das: Worker Skill Estimation in Team-Based Tasks. In PVLDB 2015.

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Zhuojie Zhou, Nan Zhang, and Gautam Das: Leveraging History for Faster Sampling of Online Social Networks. In PVLDB 2015.

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M. Farhad Rahman, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, and Gautam Das: Privacy Implications of Database Ranking. In PVLDB 2015.

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Saravanan Thirumuruganathan, Habibur Rahman, Sofiane Abbar, and Gautam Das: Beyond Itemsets: Mining Frequent Featuresets over Structured Items. In PVLDB 2015.

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Azade Nazi, Zhuojie Zhou, Saravanan Thirumuruganathan, Nan Zhang, and Gautam Das: Walk, Not Wait: Faster Sampling Over Online Social Networks. In PVLDB 2015.

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Azade Nazi, Mahashweta Das, and Gautam Das: The TagAdvisor: Luring the Lurkers to Review Web Item. In SIGMOD 2015. 

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Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, and Gautam Das: Answering Complex Queries in an Online Community Network. Poster paper, in ICWSM 2015.

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Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das: Task-Assignment Optimization in Knowledge Intensive Crowdsourcing. In VLDB Journal, 2015.

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(Invited Short Course) Gautam Das: Mining Deep Web Repositories. In BigDat 2015.

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Alexios Kotsifakos, Alexandra Stefan, Vassilis Athitsos, Gautam Das, and Panagiotis Papapetrou: DRESS: Dimensionality Reduction for Efficient Sequence Search. In the Data Mining and Knowledge Discovery Journal (DAMI) (also presented at PKDD 2015).

 

2014

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Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Khaled Shaban, and Gautam Das: Query Hidden Attributes in Social Networks. In IDP 2014, held in conjunction with ICDM 2014.

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Naeemul Hassan, Huadong Feng, Ramesh Venkataraman, Gautam Das, Chengkai Li, Nan Zhang: Anything You Can Do, I Can Do Better: Finding Expert Teams by CrewScout. Demo paper, in CIKM 2014.

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Milad Eftekhar, Saravanan Thirumuruganathan, Gautam Das, and Nick Koudas: Price Trade-offs in Social Media Advertising. In Proceeding of ACM Conference on Online Social Networks (COSN) 2014.

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Gautam Das: Exploration and Mining of Web Repositories. Tutorial, at COMAD 2014.

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(Keynote Lecture) Gautam Das: Data Exploration and Analytics in Social Media and the Deep Web. In IEEE APWC 2014.

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Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, and Gautam Das: Aggregate Estimation Over Dynamic Hidden Web Databases. In PVLDB 2014.

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Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, and Ali Jaoua: HDBTracker: Aggregate Tracking and Monitoring Over Dynamic Web Databases. Demo paper, in PVLDB 2014.

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Saravanan Thirumuruganathan, Nan Zhang, Vagelis Hristidis, and Gautam Das: Aggregate Estimation Over a Microblog Platform. In Proc. of SIGMOD 2014.

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Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis: IQR: An Interactive Query Relaxation System for the Empty-Answer Problem. Demo paper, in SIGMOD 2014.

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Nan Zhang and Gautam Das. Exploration and Mining of Web Repositories. Tutorial at WSDM 2014.

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(Invited Paper) Gautam Das: Mining and Analytics of Deep Web Repositories. In ICAA 2014.

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Senjuti Basu Roy, Saravanan T., Sihem Amer-Yahia, Gautam Das, and Cong Yu. Exploiting Group Recommendation Functions for Flexible Preferences. In Proc. of ICDE 2014.

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Sofiane Abbar, Habibur Rahman, Saravanan T., Carlos Castillo, and Gautam Das. Ranking Item Features by Mining Online User-Item Interactions. In Proc. of ICDE 2014.

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Mahashweta Das, Saravanan T., Sihem Amer-Yahia, Gautam Das and Cong Yu. An Expressive Framework and Efficient Algorithms for the Analysis of Collaborative Tagging. In VLDB Journal Special Issue 2014 on Best of VLDB 2012

 

2013

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Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, and Yannis Velegrakis: A Probabilistic Optimization Framework for the Empty-Answer Problem. In PVLDB 2013 (to be presented at VLDB 2014).

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Saravanan Thirumuruganathan, Nan Zhang, and Gautam Das: Rank Discovery From Web Databases. In PVLDB 2013 (to be presented at VLDB 2014).

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(Conference Best Student Paper) Mingyang Zhang, Nan Zhang, and Gautam Das: Mining a Search Engine's Corpus Without a Query Pool. Full paper, CIKM 2013.

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Mahashweta Das, Habibur Rahman, Vagelis Hristidis, and Gautam Das: Generating Informative Snippet to Maximize Item Visibility. Short paper, CIKM 2013

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Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia and Gautam Das: Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing. DBCrowd 2013 held in conjunction with VLDB 2013.

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Saravanan Thirumuruganathan, Nan Zhang, Gautam Das: Breaking the Top-k Barrier of Hidden Web Databases. In Proc. of ICDE 2013.

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Zhuojie Zhou, Nan Zhang, Zhiguo Gong, Gautam Das: Faster Random Walks By Rewiring Online Social Networks On-The-Fly. In Proc. of ICDE 2013.

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Chengkai Li, Nan Zhang, Naeemul Hassan, Sundaresan Rajasekaran, and Gautam Das: On Skyline Groups. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2013.

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Manos Papagelis, Gautam Das, Nick Koudas: Sampling Online Social Networks. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2012.

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Alexandra Stefan, Vassilis Athitsos, and Gautam Das: The Move-Split-Merge Metric for Time Series. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2012

 

2012

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 Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das and Cong Yu: Who Tags What? An Analysis Framework. In PVLDB 2012. (Also in VLDBJ special issue on Best of VLDB 2012)

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Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das and Cong Yu: MapRat: Meaningful Explanation, Interactive Exploration and Geographic Visualization of Collaborative Ratings. Demo paper, in PVLDB 2012. 

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(Keynote Lecture) Gautam Das: Analytics over Deep Web Repositories. In WebDB 2012, held in conjunction with SIGMOD 2012.

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Chengkai Li, Nan Zhang, Naeemul Hassan, Sundaresan Rajasekaran, and Gautam Das: On Skyline Groups. In Proc. of CIKM 2012.

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Mingyang Zhang, Nan Zhang, and Gautam Das: Aggregate Suppression for Enterprise Search Engines, Full paper, in Proc. of ACM SIGMOD 2012.

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(Keynote Lecture) Gautam Das: Ranking and Top-k Problems in Collaborative Media and Deep Web Databases. In DBRank 2012, held in conjunction with VLDB 2012.

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Nan Zhang and Gautam Das: Mining Deep Web Repositories. Tutorial, in ECML-PKDD 2012.

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N. Zhang, L.O'Neill, G. Das, X. Cheng, and H. Heng: No Silver Bullet: Identifying Security Vulnerabilities In Anonymization Protocols for Hospital Databases. To appear in International Journal of Healthcare Information Systems and Informatics.

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Foto Afrati, Gautam Das, Aristides Gionis, Heikki Mannila, Taneli Mielikainen, and Panayiotis Tsaparas: Mining Chains of Relations. Book Chapter, Data Mining: Foundations and Intelligent Paradigms, Chapter 11, ISRL 24, Volume 2, 2012.

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Senjuti Basu Roy, Gautam Das, Sajal Das: Algorithms for Computing Best Coverage Path in the Presence of Obstacles in a Sensor Field. To appear in Journal of Discrete Algorithms (Elsevier), 2012.

2011

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Mahashweta Das, Gautam Das, and Vagelis Hristidis: Leveraging Collaborative Tagging for Web Item Design. Full paper, in Proc. of ACM SIGKDD 2011 (Acceptance rate 7.8%)

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Nan Zhang and Gautam Das: Exploration of Deep Web Repositories, Tutorial, In PVLDB 2011.

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Xin Jin, Aditya Mone, Nan Zhang, and Gautam Das: Randomized Generalization for Aggregate Suppression Over Hidden Web Databases. In PVLDB 2011.

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Mahashweta Das, Sihem Amer-Yahia, Gautam Das, and Cong Yu: MRI: Meaningful Interpretations of Collaborative Ratings. In PVLDB 2011.

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Xin Jin, Nan Zhang, and Gautam Das: Attribute Domain Discovery for Hidden Web Databases, In Proc. of SIGMOD 2011.

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Mingyang Zhang, Nan Zhang, and Gautam Das: Mining a Search Engine Corpus: Efficient Yet Unbiased Sampling and Aggregate Estimation, In Proc. of SIGMOD 2011.

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Xin Jin, Aditya Mone, Nan Zhang, and Gautam Das: MOBIES: Mobile-Interface Enhancement Service for Hidden Web Databases, Demo paper, in Proc. of SIGMOD 2011.

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Senjuti Basu Roy, Sihem Amer-Yahia, Gautam Das and Cong Yu: Interactive Itinerary Planning, In Proc. of ICDE 2011 (Acceptance rate 19.8%).

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H. Howie Huang, Nan Zhang, Wei Wang, Gautam Das, and Alex Szalay: Just-In-Time Analytics on Large File Systems, In Proc. of USENIX Conference on File and Storage Technologies, FAST 2011.

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Xin Jin, Nan Zhang, and Gautam Das: ASAP: Eliminating Algorithm-based Disclosure in Privacy-Preserving Data Publishing, to appear in Information Systems (Elsevier), 2011

2010

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Senjuti Basu Roy, Sihem Amer-Yahia, Ashish Chawla, Gautam Das and Cong Yu. Space Efficiency in Group Recommendations, In VLDB Journal Special Issue on Data Management and Mining for Social Networks and Social Media, 2010.

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Ning Yan, Chengkai Li, Senjuti Basu Roy, Rakesh Ramegowda, Gautam Das, Facetedpedia: Enabling Query-Dependent Faceted Search for Wikipedia, Demo paper, in Proc. of CIKM 2010.

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Xin Jin, Mingyang Zhang, Nan Zhang, Gautam Das: Versatile Publishing for Privacy Preservation. Full paper, in Proc. ACM SIGKDD 2010 (Acceptance rate 13.3%).

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Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawla, Gautam Das and Cong Yu: Constructing and Exploring Composite Items. In Proc. SIGMOD 2010.

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Feng Zhao, Gautam Das,  Kian-Lee Tan,  Anthony K. H. Tung: Call to Order: A Hierarchical Browsing Approach to Eliciting Users' Preference. In Proc. SIGMOD 2010.

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Arjun Dasgupta, Xin Jin, Bradley Jewell, Nan Zhang, and Gautam Das: Unbiased estimation of size and other aggregates over hidden web databases. In Proc. SIGMOD 2010.

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Chengkai Li, Ning Yan, Senjuti Basu Roy, Lekhendro Lisham, and Gautam Das: Facetedpedia: Dynamic Generation of Query-Dependent Faceted Interfaces for Wikipedia. In Proc. WWW 2010 (Acceptance rate 14%)

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Arjun Dasgupta, Nan Zhang, and Gautam Das: Turbo-Charging Hidden Database Samplers with Overflowing Queries and Skew Reduction. In Proc. EDBT 2010 (Acceptance rate 18%)

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Xin Jin, Nan Zhang, and Gautam Das: Algorithm-safe Privacy Preserving Data Publishing, In Proc. EDBT 2010 (Acceptance rate 18%)

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Benjamin Arai, Gautam Das, Dimitris Gunopulos, Vagelis Hristidis, Nick Koudas: An Access Cost Aware Approach for Object Retrieval over Multiple Sources. In PVLDB 2010.

2009

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Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawla, Gautam Das, Cong Yu: Group Recommendation: Semantics and Efficiency. Full paper, in VLDB 2009. (Acceptance rate 17.9%)

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Nikos Sarkas, Nilesh Bansal, Gautam Das, Nick Koudas: Measure Driven Keyword Query Expansion. Full paper, in VLDB 2009. (Acceptance rate 16.7%)

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Surajit Chaudhuri, Gautam Das: Keyword Querying and Ranking in Databases. Tutorial at VLDB 2009.

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Nikos Sarkas, Gautam Das, Nick Koudas: Improved Search for Socially Annotated Data, In PVLDB 2009.

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Senjuti Basu Roy, Gautam Das: Top-k Implementation Techniques of Minimum Effort Driven Faceted Search for Databases. In Proc. of COMAD 2009. (Acceptance rate 38%)

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Muhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila: Determining Attributes to Maximize Visibility of Objects. To appear in IEEE Transactions on Data Engineering (TKDE), 2009.

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Arjun Dasgupta, Nan Zhang, Gautam Das, Surajit Chaudhuri: Privacy Preservation of Aggregates in Hidden Databases: Why and How? Full Paper, in Proc. of SIGMOD 2009. (Acceptance rate 15.9%)

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Anirban Maiti, Arjun Dasgupta, Nan Zhang, Gautam Das: HDSampler: Revealing Data behind Web Form Interfaces. Demo paper, in Proc. of SIGMOD 2009. (Acceptance rate 37%)

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Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Nick Koudas: Anytime Measures for Top-k Algorithms on Exact and Fuzzy Data SetsInvited Paper, VLDB Journal 18(2): 407-427 (2009) on special issue of Best Papers of VLDB 2007.

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Gautam Das: Top-k Algorithms and Applications. Tutorial at DASFAA 2009.

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Gautam Das, Nan Zhang: Privacy Risks in Health Databases from Aggregate Disclosure. In Proc PSPAE/PETRA 2009.

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Gautam Das, Nan Zhang: Aggregates Disclosure in Hidden Web Databases: An Urgent Challenge, Position paper, NSF Workshop on Data and Applications Security, 2009.

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Arjun Dasgupta, Nan Zhang, Gautam Das: Leveraging COUNT Information in Sampling Hidden Databases. Full paper, in Proc. ICDE 2009. (Acceptance rate 17%)

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Senjuti Basu Roy, Haidong Wang, Ullas Nambiar, Gautam Das, Mukesh Mohania: DynaCet: Building Dynamic Faceted Search Systems over Databases. Demo paper, in Proc. ICDE 2009. (Acceptance rate 28%)

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Albert Angel, Surajit Chaudhuri, Gautam Das, Nick Koudas: Ranking Objects Based on Relationships and Fixed Associations. In Proc. EDBT 2009. (Acceptance rate 33%)

2008

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P. Miettinen, T. Mielikainen, A. Gionis, G. Das, H. Mannila: The Discrete Basis Problem. In IEEE Transactions on Data Engineering (TKDE), 2008, pp. 1348-1362.

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 Senjuti Basu Roy, Haidong Wang, Ullas Nambiar, Gautam Das and Mukesh Mohania: Minimum-Effort Driven Dynamic Faceted Search in Structured Databases. In Proc. CIKM 2008. (Acceptance rate 17%)

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G. Das, N. Sarkas, N. Koudas: Categorical Skylines for Streaming Data. In Proc. of SIGMOD 2008. (Acceptance rate 18%)

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Muhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila: Standing Out in a Crowd: Selecting Attributes for Maximum Visibility. In Proc. ICDE 2008 (Acceptance rate 19%)

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Song Lin, Benjamin Arai, Dimitrios Gunopulos, Gautam Das: Energy Efficient Adaptive Region Sampling in Sensor Networks. In Proc. ICDE 2008. (Acceptance rate 19%)

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Gautam Das, Nick Koudas, Manos Papagelis, Sushruth Puttaswamy: Efficient Sampling of Information in Social Networks. In Proc. CIKM/SSM 2008

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Z. Joseph, G. Das, L. Fegaras: Distinct Value Estimation in Unstructured P2P Databases. In Proc. PETRA 2008

2007

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Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Nick Koudas: Anytime Measures for Top-k Algorithms. VLDB 2007: 914-925 (Acceptance rate 17%)

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Gautam Das, Dimitrios Gunopulos, Nick Koudas, Nikos Sarkas: Ad-hoc Top-k Query Answering for Data Streams. VLDB 2007: 183-194 (Acceptance rate 17%)

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Arjun Dasgupta, Gautam Das, Heikki Mannila: A random walk approach to sampling hidden databases. SIGMOD 2007: 629-640 (Acceptance rate 14.6%)

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Nishant Kapoor, Gautam Das, Vagelis Hristidis, S. Sudarshan, Gerhard Weikum: STAR: A System for Tuple and Attribute Ranking of Query Answers. Demo paper at ICDE 2007: 1483-1484

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Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Vana Kalogeraki: Efficient Approximate Query Processing in Peer-to-Peer Networks. IEEE Trans. Knowl. Data Eng. (TKDE) 19(7): 919-933 (2007)

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Senjuti Basu Roy, Gautam Das, Sajal Das: Computing Best Coverage Path in the Presence of Obstacles in a Sensor Field. WADS 2007: 577-588

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Surajit Chaudhuri, Gautam Das, Vivek Narasayya. Optimized Stratified Sampling for Approximate Query Processing.  ACM Transactions on Database Systems (TODS), 32(2): 9 (2007)

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Gautam Das, Dimitrios Gunopulos, Nick Koudas, Dimitris Tsirogiannis. Answering Top-k Queries Using Views. HDMS 2007

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G. Das: Random Sampling from Databases and Applications. Invited Tutorial at the Intl. Conference on Information Technology ICIT 2007.

2006

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Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, Gerhard Weikum. Probabilistic Information Retrieval Approach for Ranking of Database Query Results. ACM Transactions on Database Systems (TODS) 31(3): 1134-1168 (2006)

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(Conference Best Paper) Pauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila. The Discrete Basis Problem.  PKDD 2006. (Acceptance rate 9%)

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Gautam Das, Vagelis Hristidis, Nishant Kapoor and S. Sudarshan. Ordering the Attributes of Query Results. SIGMOD 2006. (Acceptance rate 13%)

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Gautam Das, Dimitrios Gunopulos, Nick Koudas, Dimitris Tsirogiannis. Answering Top-k Queries Using Views. VLDB 2006. (Acceptance rate 13%)

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Benjamin Arai, Gautam Das, Dimitrios Gunopulos and Vana Kalogeraki. Approximating Aggregation Queries in Peer-to-Peer Networks. ICDE 2006. (Acceptance rate 19.5%)

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L. Fegaras, W. He, G. Das, and D. Levine. XML Query Routing in Structured P2P Systems. DBISP2P 2006 workshop in conjunction with VLDB 2006.

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Benjamin Arai, Gautam Das, Dimitrios Gunopulos and Vana Kalogeraki. Approximating Aggregations in Peer-to-Peer Databases. HDMS 2006.

2005

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Foto Afrati, Gautam Das, Aris Gionis, Heikki Mannila, Taneli Mielikainen, Panayiotis Tsaparas: Mining Chains of Relations. ICDM 2005. (Acceptance rate 28%)

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Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn Keogh, Michail Vlachos, and Gautam Das. Mining Time Series Data. In O. Maimon and Rokach (eds.), Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers, Kluwer Academic Publishers. 2005.

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Gautam Das: Approximate Query Processing. Tutorial, SBBD 2005.

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Gautam Das: Sampling Methods in Approximate Query Answering Systems. Invited Book Chapter, Encyclopedia of Data Warehousing and Mining. Editor John Wang, Information Science Publishing, 2005.

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Gautam Das: Approximate Query Processing Techniques. Invited Tutorial at the 11th International Conference on Management of Data COMAD 2005.