Divesh Srivastava

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 142

Top Venues

Univ. of Wisconsin-Madison (PHD)

Education History

Univ. of Wisconsin-Madison

PHD

Publications

Radin Hamidi Rad, Hossein Fani, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
A Variational Neural Architecture for Skill-based Team Formation. ACM Trans. Inf. Syst. 42 (1) (2024)
Wendy Hall, Divesh Srivastava, Scott E. Delman
ACM Publications Finances for 2022: Striving for Balance between Mission, Sustainability, and Growth. Commun. ACM 67 (1) (2024)
Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Discovering approximate implicit domain orders through order dependencies. VLDB J. 33 (5) (2024)
Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
RAGE Against the Machine: Retrieval-Augmented LLM Explanations. CoRR (2024)
Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
CAMO: Explaining Consensus Across MOdels. ICDE (2024)
Sourav S. Bhowmick, S. H. Annabel Chen, Divesh Srivastava
Cognitive Psychology Meets Data Management: State of the Art and Future Directions. SIGMOD Conference Companion (2024)
Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava
Building Taxonomies with Triplet Queries. SEBD (2024)
Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
Towards Explainability in Retrieval-Augmented LLMs. ICDE (2024)
Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Fatemeh Nargesian, Felix Naumann, Divesh Srivastava
Efficient Discovery of Temporal Inclusion Dependencies in Wikipedia Tables. EDBT (2024)
Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
Exploring the Space of Model Comparisons. ICDE (2024)
Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava
FairEM360: A Suite for Responsible Entity Matching. CoRR (2024)
Armin Esmaeilzadeh, Joel Rorseth, Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Kazem Taghva
On Integrating the Data-Science and Machine-Learning Pipelines for Responsible AI. GUIDE-AI@SIGMOD (2024)
Sedir Mohammed, Hazar Harmouch, Felix Naumann, Divesh Srivastava
Data Quality Assessment: Challenges and Opportunities. CoRR (2024)
Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
RAGE Against the Machine: Retrieval-Augmented LLM Explanations. ICDE (2024)
Malte Barth, Tibor Bleidt, Martin Büßemeyer, Fabian Heseding, Niklas Köhnecke, Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava
Detecting Stale Data in Wikipedia Infoboxes. EDBT (2023)
Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching. CoRR (2023)
Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Fatemeh Nargesian, Felix Naumann, Divesh Srivastava
Matching Roles from Temporal Data: Why Joe Biden is not only President, but also Commander-in-Chief. Proc. ACM Manag. Data 1 (1) (2023)
Yaron Kanza, Rajat Malik, Divesh Srivastava, Caroline Stone, Gordon Woodhull
Data Quality in Data Streams by Modular Change Point Detection. VLDB Workshops (2023)
Radin Hamidi Rad, Hoang Nguyen, Feras N. Al-Obeidat, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Fattane Zarrinkalam
Learning heterogeneous subgraph representations for team discovery. Inf. Retr. J. 26 (1) (2023)
Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
CREDENCE: Counterfactual Explanations for Document Ranking. CoRR (2023)
Federico Piai, Paolo Atzeni, Paolo Merialdo, Divesh Srivastava
Fine-grained semantic type discovery for heterogeneous sources using clustering. VLDB J. 32 (2) (2023)
Wendy Hall, Divesh Srivastava, Scott E. Delman
ACM Publications Finances for 2021. Commun. ACM 66 (4) (2023)
Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching. Proc. VLDB Endow. 16 (11) (2023)
Andrew Chai, Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat
EAGER: Explainable Question Answering Using Knowledge Graphs. GRADES-NDA@SIGMOD (2023)
Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava
Local dampening: differential privacy for non-numeric queries via local sensitivity. VLDB J. 32 (6) (2023)
Vargha Dadvar, Lukasz Golab, Divesh Srivastava
POEM: Pattern-Oriented Explanations of Convolutional Neural Networks. Proc. VLDB Endow. 16 (11) (2023)
Alexander Bianchi, Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
iORDER: Mining Implicit Domain Orders. ICDE (2023)
Felipe T. Brito, Victor A. E. de Farias, Cheryl Flynn, Subhabrata Majumdar, Javam C. Machado, Divesh Srivastava
Global and Local Differentially Private Release of Count-Weighted Graphs. Proc. ACM Manag. Data 1 (2) (2023)
Alexandra Meliou, Sourav S. Bhowmick, Karl Aberer, Divy Agrawal, Angela Bonifati, Vanessa Braganholo, Floris Geerts, Wolfgang Lehner, Divesh Srivastava
Peer-Reviewing Processes and Incentives: Data Management Community Survey Results. SIGMOD Rec. 52 (4) (2023)
Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
CREDENCE: Counterfactual Explanations for Document Ranking. ICDE (2023)
Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava
Effective Explanations for Entity Resolution Models. CoRR (2022)
Pei Li, Jessica Jessica, Naida Tania, Michael H. Böhlen, Divesh Srivastava, Jaroslaw Szlichta
abcOD: Mining Band Order Dependencies. ICDE (2022)
Cheryl Flynn, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes. CoRR (2022)
Yaron Kanza, Balachander Krishnamurthy, Divesh Srivastava
Geospatial accessibility and inclusion by combining contextual filters, the metaverse and ambient intelligence. SIGSPATIAL/GIS (2022)
Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Subgraph Representation Learning for Team Mining. WebSci (2022)
Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava
DataPrism: Exposing Disconnect between Data and Systems. SIGMOD Conference (2022)
Sihem Amer-Yahia, Sourav S. Bhowmick, Xin Luna Dong, Stratos Idreos, Wolfgang Lehner, Divesh Srivastava
Publication Culture and Review Processes in the Data Management Community: An Open Discussion. SIGMOD Conference (2022)
Pingcheng Ruan, Yaron Kanza, Beng Chin Ooi, Divesh Srivastava
LedgerView: Access-Control Views on Hyperledger Fabric. SIGMOD Conference (2022)
Zi Huang, Yanyan Shen, Divesh Srivastava
Special issue on responsible data management and data science. VLDB J. 31 (5) (2022)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
Hierarchical Entity Resolution using an Oracle. SIGMOD Conference (2022)
Vargha Dadvar, Lukasz Golab, Divesh Srivastava
Exploring data using patterns: A survey. Inf. Syst. 108 (2022)
Tommaso Teofili, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava
CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA. Proc. VLDB Endow. 15 (12) (2022)
Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat
Fine-Tuning Dependencies with Parameters. EDBT (2022)
Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Discovering Domain Orders via Order Dependencies. ICDE (2022)
Pei Li, Jaroslaw Szlichta, Michael H. Böhlen, Divesh Srivastava
ABC of order dependencies. VLDB J. 31 (5) (2022)
Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava
Effective Explanations for Entity Resolution Models. ICDE (2022)
Vargha Dadvar, Lukasz Golab, Divesh Srivastava
POEM: Pattern-Oriented Explanations of CNN Models. Proc. VLDB Endow. 15 (12) (2022)
Divesh Srivastava, Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann
Exploring and Analyzing Change: The Janus Project. CIKM (2022)
Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat
Effective Keyword Search Over Weighted Graphs. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Valter Crescenzi, Andrea De Angelis, Donatella Firmani, Maurizio Mazzei, Paolo Merialdo, Federico Piai, Divesh Srivastava
Alaska: A Flexible Benchmark for Data Integration Tasks. CoRR (2021)
Lukasz Golab, Divesh Srivastava
Exploring Data Using Pa erns: A Survey and Open Problems. DOLAP (2021)
Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Efficient Discovery of Approximate Order Dependencies. EDBT (2021)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
Efficient and effective ER with progressive blocking. VLDB J. 30 (4) (2021)
Divesh Srivastava
Letter from the Impact Award Winner. IEEE Data Eng. Bull. 44 (2) (2021)
Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava
Structured Object Matching across Web Page Revisions. ICDE (2021)
Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava
Real-World Trajectory Sharing with Local Differential Privacy. CoRR (2021)
Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava
Real-World Trajectory Sharing with Local Differential Privacy. Proc. VLDB Endow. 14 (11) (2021)
Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava
DataExposer: Exposing Disconnect between Data and Systems. CoRR (2021)
Trong Duc Nguyen, Ming-Hung Shih, Divesh Srivastava, Srikanta Tirthapura, Bojian Xu
Stratified random sampling from streaming and stored data. Distributed Parallel Databases 39 (3) (2021)
Shuaicheng Ma, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava, Li Xiong
Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality. CIDR (2021)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
BEER: Blocking for Effective Entity Resolution. SIGMOD Conference (2021)
Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Retrieving Skill-Based Teams from Collaboration Networks. SIGIR (2021)
Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Efficient Discovery of Approximate Order Dependencies. CoRR (2021)
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) (2021)
Graham Cormode, Tejas Kulkarni, Divesh Srivastava
Constrained Private Mechanisms for Count Data. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat
Effective Keyword Search in Weighted Graphs (Extended Abstract). ICDE (2021)
Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava
The Secret Life of Wikipedia Tables. SEA-Data@VLDB (2021)
Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava
Natural Key Discovery in Wikipedia Tables. WWW (2020)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
Efficient and Effective ER with Progressive Blocking. CoRR (2020)
Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Discovering Domain Orders through Order Dependencies. CoRR (2020)
Masayo Ota, Heiko Mueller, Juliana Freire, Divesh Srivastava
Data-Driven Domain Discovery for Structured Datasets. Proc. VLDB Endow. 13 (7) (2020)
Trong Duc Nguyen, Ming-Hung Shih, Sai Sree Parvathaneni, Bojian Xu, Divesh Srivastava, Srikanta Tirthapura
Random Sampling for Group-By Queries. ICDE (2020)
Victor A. E. de Farias, Felipe T. Brito, Cheryl Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. Proc. VLDB Endow. 14 (4) (2020)
Aline Bessa, Juliana Freire, Tamraparni Dasu, Divesh Srivastava
Effective Discovery of Meaningful Outlier Relationships. Trans. Data Sci. 1 (2) (2020)
Victor A. E. de Farias, Felipe T. Brito, Cheryl Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. CoRR (2020)
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) (2020)
Divesh Srivastava
Towards High-Quality Big Data: Lessons from FIT. IEEE BigData (2020)
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) (2020)
Yaron Kanza, David C. Gibbon, Divesh Srivastava, Valerie Yip, Eric Zavesky
Smartmedia: Locally & Contextually-Adapted Streaming Media. SIGSPATIAL/GIS (2020)
Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava
Erratum for Discovering Order Dependencies through Order Compatibility (EDBT 2019). EDBT (2020)
Alexandra Kim, Laks V. S. Lakshmanan, Divesh Srivastava
Summarizing Hierarchical Multidimensional Data. ICDE (2020)
Pei Li, Jaroslaw Szlichta, Michael H. Böhlen, Divesh Srivastava
Discovering Band Order Dependencies. ICDE (2020)
Tobias Bleifuß, Leon Bornemann, Theodore Johnson, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava
Exploring Change. SEBD (2019)
Divesh Srivastava, Monica Scannapieco, Thomas C. Redman
Ensuring High-Quality Private Data for Responsible Data Science: Vision and Challenges. ACM J. Data Inf. Qual. 11 (1) (2019)
Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava
DBChEx: Interactive Exploration of Data and Schema Change. CIDR (2019)
Trong Duc Nguyen, Ming-Hung Shih, Divesh Srivastava, Srikanta Tirthapura, Bojian Xu
Stratified Random Sampling over Streaming and Stored Data. EDBT (2019)
Vincenzo Di Cicco, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava
Interpreting deep learning models for entity resolution: an experience report using LIME. aiDM@SIGMOD (2019)
Trong Duc Nguyen, Ming-Hung Shih, Sai Sree Parvathaneni, Bojian Xu, Divesh Srivastava, Srikanta Tirthapura
Random Sampling for Group-By Queries. CoRR (2019)
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) (2019)
Pei Li, Michael H. Böhlen, Jaroslaw Szlichta, Divesh Srivastava
Discovery of Band Order Dependencies. CoRR (2019)
Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Eleftherios Koutsofios, R. Malik, Divesh Srivastava
Don't Cry Wolf. DSAA (2019)
Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava
Crowd-Sourced Entity Resolution with Control Queries. SEBD (2019)
Aline Bessa, Juliana Freire, Divesh Srivastava, Tamraparni Dasu
Efficient Discovery of Meaningful Outlier Relationships. CoRR (2019)
Juan L. Reutter, Divesh Srivastava
Editorial. Inf. Syst. 86 (2019)
Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Errata Note: Discovering Order Dependencies through Order Compatibility. CoRR (2019)
Heidar Davoudi, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Bring Order to Data. AMW (2019)
Michael Vollmer, Lukasz Golab, Klemens Böhm, Divesh Srivastava
Informative Summarization of Numeric Data. SSDBM (2019)
Graham Cormode, Tejas Kulkarni, Divesh Srivastava
Answering Range Queries Under Local Differential Privacy. Proc. VLDB Endow. 12 (10) (2019)
Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava
From Rocks to Pebbles: Smoothing Spatiotemporal Data Streams in an Overlay of Sensors. ACM Trans. Spatial Algorithms Syst. 5 (3) (2019)
Trong Duc Nguyen, Ming-Hung Shih, Divesh Srivastava, Srikanta Tirthapura, Bojian Xu
Variance-Optimal Offline and Streaming Stratified Random Sampling. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Divesh Srivastava