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Saravanan Thirumuruganathan
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2020 – today
- 2025
- [c39]Akshay A. Bapat, Saravanan Thirumuruganathan, Nick Koudas:
Pythia: A Neural Model for Data Prefetching. EDBT 2025: 384-396 - 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
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
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
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
Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. ICDE 2022: 3051-3064 - [c33]Saravanan Thirumuruganathan, Mohamed Nabeel, Euijin Choo, Issa Khalil
SIRAJ: A Unified Framework for Aggregation of Malicious Entity Detectors. SP 2022: 507-521 - 2021
- [j34]Abolfazl Asudeh
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
Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins. Proc. VLDB Endow. 13(12): 2977-2980 (2020) - [j30]Suraj Shetiya
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
Making AI Machines Work for Humans in FoW. SIGMOD Rec. 49(2): 30-35 (2020) - [j28]Abolfazl Asudeh
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
ZeroER: Entity Resolution using Zero Labeled Examples. SIGMOD Conference 2020: 1149-1164 - [c24]Riccardo Cappuzzo
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
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
Optimized group formation for solving collaborative tasks. VLDB J. 28(1): 1-23 (2019) - [c23]Bertty Contreras-Rojas
TagSniff: Simplified Big Data Debugging for Dataflow Jobs. SoCC 2019: 453-464 - [c22]Amr Ebaid, Saravanan Thirumuruganathan, Walid G. Aref
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
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
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
Local Embeddings for Relational Data Integration. CoRR abs/1909.01120 (2019) - 2018
- [j21]Jonathan Z. Bakdash
Malware in the future? Forecasting of analyst detection of cyber events. J. Cybersecur. 4(1): tyy007 (2018) - [j20]Laure Berti-Équille, Hazar Harmouch
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
Leveraging Similarity Joins for Signal Reconstruction. Proc. VLDB Endow. 11(10): 1276-1288 (2018) - [j18]Divy Agrawal, Sanjay Chawla, Bertty Contreras-Rojas
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
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
Road Network Fusion for Incremental Map Updates. LBS 2018: 91-109 - [c16]Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali
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
A Cost-based Optimizer for Gradient Descent Optimization. SIGMOD Conference 2017: 977-992 - [c13]Saravanan Thirumuruganathan, Laure Berti-Équille
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
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
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
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
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
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
Price trade-offs in social media advertising. COSN 2014: 169-176 - [c7]Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das
Exploiting group recommendation functions for flexible preferences. ICDE 2014: 412-423 - [c6]Sofiane Abbar
Ranking item features by mining online user-item interactions. ICDE 2014: 460-471 - [c5]Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis
Query Hidden Attributes in Social Networks. ICDM Workshops 2014: 886-891 - [c4]Saravanan Thirumuruganathan, Nan Zhang, Vagelis Hristidis
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
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
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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