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2020 – today
- 2024
[c38]Riccardo Cappuzzo, Saravanan Thirumuruganathan, Paolo Papotti:
Relational Data Imputation with Graph Neural Networks. EDBT 2024: 221-233- [c37]Saravanan Thirumuruganathan, Fatih Deniz, Issa Khalil, Ting Yu, Mohamed Nabeel, Mourad Ouzzani:
Detecting and Mitigating Sampling Bias in Cybersecurity with Unlabeled Data. USENIX Security Symposium 2024 - 2023
- [j39]Saravanan Thirumuruganathan, Noora Al Emadi
, Soon-Gyo Jung, Joni Salminen, Dianne Ramirez Robillos, Bernard J. Jansen:
Will they take this offer? A machine learning price elasticity model for predicting upselling acceptance of premium airline seating. Inf. Manag. 60(3): 103759 (2023) - [c36]Lennart Behme, Saravanan Thirumuruganathan, Alireza Rezaei Mahdiraji, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines. ICDE 2023: 936-949 - [i23]Simone Lazier, Saravanan Thirumuruganathan, Hadis Anahideh:
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis. CoRR abs/2304.12573 (2023) - 2022
- [j38]Joni Salminen, Kamal Chhirang, Soon-Gyo Jung, Saravanan Thirumuruganathan, Kathleen W. Guan, Bernard J. Jansen:
Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User Segments. Big Data 10(4): 313-336 (2022) - [j37]Hadis Anahideh, Abolfazl Asudeh, Saravanan Thirumuruganathan:
Fair active learning. Expert Syst. Appl. 199: 116981 (2022) - [j36]Saravanan Thirumuruganathan, Mayuresh Kunjir, Mourad Ouzzani, Sanjay Chawla:
Automated Annotations for AI Data and Model Transparency. ACM J. Data Inf. Qual. 14(1): 2:1-2:9 (2022) - [j35]Donatello Santoro, Saravanan Thirumuruganathan, Paolo Papotti:
Editorial: Special Issue on Deep Learning for Data Quality. ACM J. Data Inf. Qual. 14(3): 14:1-14:3 (2022) - [c35]Ghadeer Abuoda, Saravanan Thirumuruganathan, Ashraf Aboulnaga:
Accelerating Entity Lookups in Knowledge Graphs Through Embeddings. ICDE 2022: 1111-1123 - [c34]Saravanan Thirumuruganathan, Suraj Shetiya, Nick Koudas, Gautam Das:
Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. ICDE 2022: 3051-3064 - [c33]Saravanan Thirumuruganathan, Mohamed Nabeel, Euijin Choo, Issa Khalil, Ting Yu:
SIRAJ: A Unified Framework for Aggregation of Malicious Entity Detectors. SP 2022: 507-521 - 2021
- [j34]Abolfazl Asudeh, Jees Augustine, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava:
Scalable signal reconstruction for a broad range of applications. Commun. ACM 64(2): 106-115 (2021) - [j33]Saravanan Thirumuruganathan, Soon-Gyo Jung, Dianne Ramirez Robillos, Joni Salminen, Bernard J. Jansen:
Forecasting the nearly unforecastable: why aren't airline bookings adhering to the prediction algorithm? Electron. Commer. Res. 21(1): 73-100 (2021) - [j32]Saravanan Thirumuruganathan, Han Li, Nan Tang, Mourad Ouzzani, Yash Govind, Derek Paulsen, Glenn Fung, AnHai Doan:
Deep Learning for Blocking in Entity Matching: A Design Space Exploration. Proc. VLDB Endow. 14(11): 2459-2472 (2021) - [c32]Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan:
EmbDI: Generating Embeddings for Relational Data Integration (Discussion Paper). SEBD 2021: 331-338 - [c31]Sona Hasani, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions. SIGMOD Conference 2021: 2235-2243 - [c30]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 - [c29]Ke Yang, Xiaosong Ma, Saravanan Thirumuruganathan, Kang Chen, Yongwei Wu:
Random Walks on Huge Graphs at Cache Efficiency. SOSP 2021: 311-326 - 2020
- [j31]Jees Augustine, Suraj Shetiya, Abolfazl Asudeh, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava:
Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins. Proc. VLDB Endow. 13(12): 2977-2980 (2020) - [j30]Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning. Proc. VLDB Endow. 14(4): 471-484 (2020) - [j29]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, H. 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. SIGMOD Rec. 49(2): 30-35 (2020) - [j28]Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Scalable algorithms for signal reconstruction by leveraging similarity joins. VLDB J. 29(2-3): 681-707 (2020) - [c28]Saravanan Thirumuruganathan, Nan Tang, Mourad Ouzzani, AnHai Doan:
Data Curation with Deep Learning. EDBT 2020: 277-286 - [c27]Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das:
Approximate Query Processing for Data Exploration using Deep Generative Models. ICDE 2020: 1309-1320 - [c26]Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries. SIGMOD Conference 2020: 1035-1050 - [c25]Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
ZeroER: Entity Resolution using Zero Labeled Examples. SIGMOD Conference 2020: 1149-1164 - [c24]Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan:
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks. SIGMOD Conference 2020: 1335-1349
2010 – 2019
- 2019
- [j27]David Gross-Amblard, Atsuyuki Morishima, Saravanan Thirumuruganathan, Marion Tommasi, Ko Yoshida:
Platform Design for Crowdsourcing and Future of Work. IEEE Data Eng. Bull. 42(4): 35-45 (2019) - [j26]Ria Mae Borromeo, Lei Chen, Abhishek Dubey, Sudeepa Roy, Saravanan Thirumuruganathan:
On Benchmarking for Crowdsourcing and Future of Work Platforms. IEEE Data Eng. Bull. 42(4): 46-54 (2019) - [j25]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. Proc. VLDB Endow. 12(12): 1906-1909 (2019) - [j24]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) - [j23]Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Efficient Signal Reconstruction for a Broad Range of Applications. SIGMOD Rec. 48(1): 42-49 (2019) - [j22]Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Optimized group formation for solving collaborative tasks. VLDB J. 28(1): 1-23 (2019) - [c23]Bertty Contreras-Rojas, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Saravanan Thirumuruganathan:
TagSniff: Simplified Big Data Debugging for Dataflow Jobs. SoCC 2019: 453-464 - [c22]Amr Ebaid, Saravanan Thirumuruganathan, Walid G. Aref, Ahmed K. Elmagarmid, Mourad Ouzzani:
EXPLAINER: Entity Resolution Explanations. ICDE 2019: 2000-2003 - [c21]Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan:
Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. INFORSID 2019: 287-288 - [c20]Saravanan Thirumuruganathan, Mourad Ouzzani, Nan Tang:
Explaining Entity Resolution Predictions: Where are we and What needs to be done? HILDA@SIGMOD 2019: 10:1-10:6 - [c19]Md. Abdus Salam, Mary E. Koone, Saravanan Thirumuruganathan, Gautam Das, Senjuti Basu Roy:
A Human-in-the-loop Attribute Design Framework for Classification. WWW 2019: 1612-1622 - [i22]Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Multi-Attribute Selectivity Estimation Using Deep Learning. CoRR abs/1903.09999 (2019) - [i21]Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das:
Approximate Query Processing using Deep Generative Models. CoRR abs/1903.10000 (2019) - [i20]Laure Berti-Équille, Ji Meng Loh, Saravanan Thirumuruganathan:
Are Outlier Detection Methods Resilient to Sampling? CoRR abs/1907.13276 (2019) - [i19]Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
AutoER: Automated Entity Resolution using Generative Modelling. CoRR abs/1908.06049 (2019) - [i18]Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan:
Local Embeddings for Relational Data Integration. CoRR abs/1909.01120 (2019) - 2018
- [j21]Jonathan Z. Bakdash, Steve E. Hutchinson, Erin G. Zaroukian, Laura R. Marusich, Saravanan Thirumuruganathan, Charmaine Sample, Blaine Hoffman, Gautam Das:
Malware in the future? Forecasting of analyst detection of cyber events. J. Cybersecur. 4(1): tyy007 (2018) - [j20]Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan:
Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. Proc. VLDB Endow. 11(8): 880-892 (2018) - [j19]Abolfazl Asudeh, Azade Nazi, Jees Augustine, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Leveraging Similarity Joins for Signal Reconstruction. Proc. VLDB Endow. 11(10): 1276-1288 (2018) - [j18]Divy Agrawal, Sanjay Chawla, Bertty Contreras-Rojas, Ahmed K. Elmagarmid, Yasser Idris, Zoi Kaoudi, Sebastian Kruse, Ji Lucas, Essam Mansour, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Saravanan Thirumuruganathan, Anis Troudi:
RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! -. Proc. VLDB Endow. 11(11): 1414-1427 (2018) - [j17]Muhammad Ebraheem, Saravanan Thirumuruganathan, Shafiq R. Joty, Mourad Ouzzani, Nan Tang:
Distributed Representations of Tuples for Entity Resolution. Proc. VLDB Endow. 11(11): 1454-1467 (2018) - [j16]Sona Hasani, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse. Proc. VLDB Endow. 11(11): 1468-1481 (2018) - [c18]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. EMBC 2018: 4097-4100 - [c17]Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Gianmarco De Francisci Morales, Sanjay Chawla, Fethi Filali, Ahid Aleimat:
Road Network Fusion for Incremental Map Updates. LBS 2018: 91-109 - [c16]Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat:
Robust Road Map Inference through Network Alignment of Trajectories. SDM 2018: 135-143 - [r2]Sihem Amer-Yahia, Mahashweta Das, Gautam Das, Saravanan Thirumuruganathan, Cong Yu:
Structure Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - [r1]Sihem Amer-Yahia, Senjuti Basu Roy, Gautam Das, Ioanna Lykourentzou, Habibur Rahman, Saravanan Thirumuruganathan:
Human Factors Modeling in Crowdsourcing. Encyclopedia of Database Systems (2nd ed.) 2018 - [i17]Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Gianmarco De Francisci Morales, Sanjay Chawla, Fethi Filali, Ahid Aleimat:
Road Network Fusion for Incremental Map Updates. CoRR abs/1802.02351 (2018) - [i16]Saravanan Thirumuruganathan, Nan Tang, Mourad Ouzzani:
Data Curation with Deep Learning [Vision]: Towards Self Driving Data Curation. CoRR abs/1803.01384 (2018) - [i15]Saravanan Thirumuruganathan, Shameem Ahamed Puthiya Parambath, Mourad Ouzzani, Nan Tang, Shafiq R. Joty:
Reuse and Adaptation for Entity Resolution through Transfer Learning. CoRR abs/1809.11084 (2018) - 2017
- [c15]Md Farhadur Rahman, Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Density Based Clustering over Location Based Services. ICDE 2017: 461-469 - [c14]Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal:
A Cost-based Optimizer for Gradient Descent Optimization. SIGMOD Conference 2017: 977-992 - [c13]Saravanan Thirumuruganathan, Laure Berti-Équille, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang:
UGuide: User-Guided Discovery of FD-Detectable Errors. SIGMOD Conference 2017: 1385-1397 - [i14]Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat:
Kharita: Robust Map Inference using Graph Spanners. CoRR abs/1702.06025 (2017) - [i13]Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal:
A Cost-based Optimizer for Gradient Descent Optimization. CoRR abs/1703.09193 (2017) - [i12]Jonathan Z. Bakdash, Steve E. Hutchinson, Erin G. Zaroukian, Laura R. Marusich, Saravanan Thirumuruganathan, Char Sample, Blaine Hoffman, Gautam Das:
Malware in the Future? Forecasting Analyst Detection of Cyber Events. CoRR abs/1707.03243 (2017) - [i11]Muhammad Ebraheem, Saravanan Thirumuruganathan, Shafiq R. Joty, Mourad Ouzzani, Nan Tang:
DeepER - Deep Entity Resolution. CoRR abs/1710.00597 (2017) - 2016
- [j15]Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Discovering the Skyline of Web Databases. Proc. VLDB Endow. 9(7): 600-611 (2016) - [j14]Kosetsu Ikeda, Atsuyuki Morishima, Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Collaborative Crowdsourcing with Crowd4U. Proc. VLDB Endow. 9(13): 1497-1500 (2016) - [c12]Md Farhadur Rahman, Saad Bin Suhaim, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
ANALOC: Efficient analytics over Location Based Services. ICDE 2016: 1366-1369 - [i10]Md Farhadur Rahman, Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
HDBSCAN: Density based Clustering over Location Based Services. CoRR abs/1602.03730 (2016) - 2015
- [j13]Yachao Lu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Hidden Database Research and Analytics (HYDRA) System . IEEE Data Eng. Bull. 38(3): 84-102 (2015) - [j12]Azade Nazi, Zhuojie Zhou, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Walk, Not Wait: Faster Sampling Over Online Social Networks. Proc. VLDB Endow. 8(6): 678-689 (2015) - [j11]Md Farhadur Rahman, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Privacy Implications of Database Ranking. Proc. VLDB Endow. 8(10): 1106-1117 (2015) - [j10]Habibur Rahman, Saravanan Thirumuruganathan, Senjuti Basu Roy, Sihem Amer-Yahia, Gautam Das:
Worker Skill Estimation in Team-Based Tasks. Proc. VLDB Endow. 8(11): 1142-1153 (2015) - [j9]Weimo Liu, Md Farhadur Rahman, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Aggregate Estimations over Location Based Services. Proc. VLDB Endow. 8(12): 1334-1345 (2015) - [j8]Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Task assignment optimization in knowledge-intensive crowdsourcing. VLDB J. 24(4): 467-491 (2015) - [c11]Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Task Assignment Optimization in Collaborative Crowdsourcing. ICDM 2015: 949-954 - [c10]Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Gautam Das:
Answering Complex Queries in an Online Community Network. ICWSM 2015: 662-665 - [c9]Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Gautam Das:
Querying Hidden Attributes in an Online Community Network. MASS 2015: 657-662 - [i9]Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
"The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing. CoRR abs/1502.05106 (2015) - [i8]Weimo Liu, Md Farhadur Rahman, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Aggregate Estimations over Location Based Services. CoRR abs/1505.02441 (2015) - [i7]Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Discovering the Skyline of Web Databases. CoRR abs/1512.02138 (2015) - 2014
- [j7]Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Aggregate Estimation Over Dynamic Hidden Web Databases. Proc. VLDB Endow. 7(12): 1107-1118 (2014) - [j6]Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Ali Jaoua:
HDBTracker: Monitoring the Aggregates On Dynamic Hidden Web Databases. Proc. VLDB Endow. 7(13): 1569-1572 (2014) - [j5]Saravanan Thirumuruganathan, Habibur Rahman, Sofiane Abbar, Gautam Das:
Beyond Itemsets: Mining Frequent Featuresets over Structured Items. Proc. VLDB Endow. 8(3): 257-268 (2014) - [j4]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
An expressive framework and efficient algorithms for the analysis of collaborative tagging. VLDB J. 23(2): 201-226 (2014) - [c8]Milad Eftekhar, Saravanan Thirumuruganathan, Gautam Das, Nick Koudas:
Price trade-offs in social media advertising. COSN 2014: 169-176 - [c7]Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Exploiting group recommendation functions for flexible preferences. ICDE 2014: 412-423 - [c6]Sofiane Abbar, Habibur Rahman, Saravanan Thirumuruganathan, Carlos Castillo, Gautam Das:
Ranking item features by mining online user-item interactions. ICDE 2014: 460-471 - [c5]Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Khaled B. Shaban, Gautam Das:
Query Hidden Attributes in Social Networks. ICDM Workshops 2014: 886-891 - [c4]Saravanan Thirumuruganathan, Nan Zhang, Vagelis Hristidis, Gautam Das:
Aggregate estimation over a microblog platform. SIGMOD Conference 2014: 1519-1530 - [i6]Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Optimization in Knowledge-Intensive Crowdsourcing. CoRR abs/1401.1302 (2014) - [i5]Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Aggregate Estimation Over Dynamic Hidden Web Databases. CoRR abs/1403.2763 (2014) - [i4]Azade Nazi, Zhuojie Zhou, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Walk, Not Wait: Faster Sampling Over Online Social Networks. CoRR abs/1410.7833 (2014) - [i3]Md Farhadur Rahman, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Rank-Based Inference over Web Databases. CoRR abs/1411.1455 (2014) - 2013
- [j3]Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Rank Discovery From Web Databases. Proc. VLDB Endow. 6(13): 1582-1593 (2013) - [c3]Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing. DBCrowd 2013: 39-42 - [c2]Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Breaking the top-k barrier of hidden web databases? ICDE 2013: 1045-1056 - 2012
- [j2]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Who Tags What? An Analysis Framework. Proc. VLDB Endow. 5(11): 1567-1578 (2012) - [j1]Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das, Cong Yu:
MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings. Proc. VLDB Endow. 5(12): 1986-1989 (2012) - [i2]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Who Tags What? An Analysis Framework. CoRR abs/1208.0285 (2012) - [i1]Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Digging Deeper into Deep Web Databases by Breaking Through the Top-k Barrier. CoRR abs/1208.3876 (2012) - 2011
- [c1]Saravanan Thirumuruganathan, Manfred Huber:
Building Bayesian Network based expert systems from rules. SMC 2011: 3002-3008
Coauthor Index
[c34] [j34] [c31] [j31] [j30] [j29] [j28] [c27] [c26] [j25] [j23] [j22] [c19] [i22] [i21] [j21] [j19] [j16] [c18] [r2] [r1] [c15] [i12] [j15] [j14] [c12] [i10] [j13] [j12] [j11] [j10] [j9] [j8] [c11] [c10] [c9] [i9] [i8] [i7] [j7] [j6] [j5] [j4] [c8] [c7] [c6] [c5] [c4] [i6] [i5] [i4] [i3] [j3] [c3] [c2] [j2] [j1] [i2] [i1]
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