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ORCIDDivesh Srivastava
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- affiliation: AT&T Inc
- award (2021): TCDE Impact Award
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2020 – today
- 2023
[j126]Wendy Hall, Divesh Srivastava, Scott E. Delman:
ACM Publications Finances for 2021. Commun. ACM 66(4): 18-19 (2023)- [j125]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): 65:1-65:26 (2023) - [j124]Federico Piai
, Paolo Atzeni, Paolo Merialdo, Divesh Srivastava:
Fine-grained semantic type discovery for heterogeneous sources using clustering. VLDB J. 32(2): 305-324 (2023) - [c255]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: 450-456 - [i37]Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
CREDENCE: Counterfactual Explanations for Document Ranking. CoRR abs/2302.04983 (2023) - 2022
- [j123]Vargha Dadvar, Lukasz Golab, Divesh Srivastava:
Exploring data using patterns: A survey. Inf. Syst. 108: 101985 (2022) - [j122]Vargha Dadvar, Lukasz Golab, Divesh Srivastava:
POEM: Pattern-Oriented Explanations of CNN Models. Proc. VLDB Endow. 15(12): 3618-3621 (2022) - [j121]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): 3642-3645 (2022) - [j120]Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
Effective Keyword Search Over Weighted Graphs. IEEE Trans. Knowl. Data Eng. 34(2): 601-616 (2022) - [j119]Zi Huang, Yanyan Shen, Divesh Srivastava:
Special issue on responsible data management and data science. VLDB J. 31(5): 823 (2022) - [j118]Pei Li, Jaroslaw Szlichta, Michael H. Böhlen, Divesh Srivastava:
ABC of order dependencies. VLDB J. 31(5): 825-849 (2022) - [c254]Divesh Srivastava, Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann:
Exploring and Analyzing Change: The Janus Project. CIKM 2022: 3 - [c253]Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
Fine-Tuning Dependencies with Parameters. EDBT 2022: 2:393-2:397 - [c252]Yaron Kanza, Balachander Krishnamurthy, Divesh Srivastava:
Geospatial accessibility and inclusion by combining contextual filters, the metaverse and ambient intelligence. SIGSPATIAL/GIS 2022: 96:1-96:4 - [c251]Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering Domain Orders via Order Dependencies. ICDE 2022: 1098-1110 - [c250]Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. ICDE 2022: 2709-2721 - [c249]Pei Li, Jessica Jessica, Naida Tania, Michael H. Böhlen, Divesh Srivastava, Jaroslaw Szlichta:
abcOD: Mining Band Order Dependencies. ICDE 2022: 3162-3165 - [c248]Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava:
DataPrism: Exposing Disconnect between Data and Systems. SIGMOD Conference 2022: 217-231 - [c247]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Hierarchical Entity Resolution using an Oracle. SIGMOD Conference 2022: 414-428 - [c246]Pingcheng Ruan, Yaron Kanza, Beng Chin Ooi, Divesh Srivastava:
LedgerView: Access-Control Views on Hyperledger Fabric. SIGMOD Conference 2022: 2218-2231 - [c245]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: 2501-2502 - [c244]Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Subgraph Representation Learning for Team Mining. WebSci 2022: 148-153 - [i36]Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. CoRR abs/2203.12978 (2022) - [i35]Cheryl Flynn, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou:
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes. CoRR abs/2211.04568 (2022) - 2021
- [j117]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) - [j116]Divesh Srivastava:
Letter from the Impact Award Winner. IEEE Data Eng. Bull. 44(2): 92-93 (2021) - [j115]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): 665-710 (2021) - [j114]Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava:
Real-World Trajectory Sharing with Local Differential Privacy. Proc. VLDB Endow. 14(11): 2283-2295 (2021) - [j113]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. IEEE Trans. Knowl. Data Eng. 33(2): 415-430 (2021) - [j112]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Efficient and effective ER with progressive blocking. VLDB J. 30(4): 537-557 (2021) - [c243]Shuaicheng Ma, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava, Li Xiong:
Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality. CIDR 2021 - [c242]Lukasz Golab, Divesh Srivastava:
Exploring Data Using Pa erns: A Survey and Open Problems. DOLAP 2021: 116-120 - [c241]Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Efficient Discovery of Approximate Order Dependencies. EDBT 2021: 427-432 - [c240]Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Structured Object Matching across Web Page Revisions. ICDE 2021: 1284-1295 - [c239]Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
Effective Keyword Search in Weighted Graphs (Extended Abstract). ICDE 2021: 2350-2351 - [c238]Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Retrieving Skill-Based Teams from Collaboration Networks. SIGIR 2021: 2015-2019 - [c237]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
BEER: Blocking for Effective Entity Resolution. SIGMOD Conference 2021: 2711-2715 - [c236]Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
The Secret Life of Wikipedia Tables. SEA-Data@VLDB 2021: 20-26 - [e16]Guoliang Li, Zhanhuai Li, Stratos Idreos, Divesh Srivastava:
SIGMOD '21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021. ACM 2021, ISBN 978-1-4503-8343-1 [contents] - [i34]Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Efficient Discovery of Approximate Order Dependencies. CoRR abs/2101.02174 (2021) - [i33]Valter Crescenzi, Andrea De Angelis, Donatella Firmani, Maurizio Mazzei, Paolo Merialdo, Federico Piai, Divesh Srivastava:
Alaska: A Flexible Benchmark for Data Integration Tasks. CoRR abs/2101.11259 (2021) - [i32]Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava:
DataExposer: Exposing Disconnect between Data and Systems. CoRR abs/2105.06058 (2021) - [i31]Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava:
Real-World Trajectory Sharing with Local Differential Privacy. CoRR abs/2108.02084 (2021) - 2020
- [j111]Masayo Ota, Heiko Mueller, Juliana Freire, Divesh Srivastava:
Data-Driven Domain Discovery for Structured Datasets. Proc. VLDB Endow. 13(7): 953-965 (2020) - [j110]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) - [j109]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): 521-533 (2020) - [j108]Aline Bessa, Juliana Freire, Tamraparni Dasu, Divesh Srivastava:
Effective Discovery of Meaningful Outlier Relationships. Trans. Data Sci. 1(2): 12:1-12:33 (2020) - [j107]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) - [c235]Divesh Srivastava:
Towards High-Quality Big Data: Lessons from FIT. IEEE BigData 2020: 4 - [c234]Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava:
Erratum for Discovering Order Dependencies through Order Compatibility (EDBT 2019). EDBT 2020: 659-663 - [c233]Yaron Kanza, David C. Gibbon, Divesh Srivastava, Valerie Yip, Eric Zavesky:
Smartmedia: Locally & Contextually-Adapted Streaming Media. SIGSPATIAL/GIS 2020: 589-592 - [c232]Trong Duc Nguyen, Ming-Hung Shih, Sai Sree Parvathaneni, Bojian Xu, Divesh Srivastava, Srikanta Tirthapura:
Random Sampling for Group-By Queries. ICDE 2020: 541-552 - [c231]Alexandra Kim, Laks V. S. Lakshmanan, Divesh Srivastava:
Summarizing Hierarchical Multidimensional Data. ICDE 2020: 877-888 - [c230]Pei Li, Jaroslaw Szlichta, Michael H. Böhlen, Divesh Srivastava:
Discovering Band Order Dependencies. ICDE 2020: 1878-1881 - [c229]Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Natural Key Discovery in Wikipedia Tables. WWW 2020: 2789-2795 - [e15]Federico Piai, Donatella Firmani, Valter Crescenzi, Andrea De Angelis, Xin Luna Dong, Maurizio Mazzei, Paolo Merialdo, Divesh Srivastava:
Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, DI2KG@VLDB 2020, Tokyo, Japan, August 31, 2020. CEUR Workshop Proceedings 2726, CEUR-WS.org 2020 [contents] - [i30]Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering Domain Orders through Order Dependencies. CoRR abs/2005.14068 (2020) - [i29]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Efficient and Effective ER with Progressive Blocking. CoRR abs/2005.14326 (2020) - [i28]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 abs/2012.04117 (2020)
2010 – 2019
- 2019
- [j106]Juan L. Reutter, Divesh Srivastava:
Editorial. Inf. Syst. 86: 9 (2019) - [j105]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): 1:1-1:9 (2019) - [j104]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Answering Range Queries Under Local Differential Privacy. Proc. VLDB Endow. 12(10): 1126-1138 (2019) - [j103]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) - [j102]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): 18:1-18:38 (2019) - [c228]Heidar Davoudi, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Bring Order to Data. AMW 2019 - [c227]Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
DBChEx: Interactive Exploration of Data and Schema Change. CIDR 2019 - [c226]Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Eleftherios Koutsofios, R. Malik, Divesh Srivastava:
Don't Cry Wolf. DSAA 2019: 616-617 - [c225]Trong Duc Nguyen, Ming-Hung Shih, Divesh Srivastava, Srikanta Tirthapura, Bojian Xu:
Stratified Random Sampling over Streaming and Stored Data. EDBT 2019: 25-36 - [c224]Tobias Bleifuß, Leon Bornemann, Theodore Johnson, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Exploring Change. SEBD 2019 - [c223]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Crowd-Sourced Entity Resolution with Control Queries. SEBD 2019 - [c222]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: 8:1-8:4 - [c221]Michael Vollmer, Lukasz Golab, Klemens Böhm, Divesh Srivastava:
Informative Summarization of Numeric Data. SSDBM 2019: 97-108 - [e14]Donatella Firmani, Valter Crescenzi, Andrea De Angelis, Xin Luna Dong, Maurizio Mazzei, Paolo Merialdo, Divesh Srivastava:
Proceedings of the 1st International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), Anchorage, Alaska, August 5, 2019. CEUR Workshop Proceedings 2512, CEUR-WS.org 2019 [contents] - [i27]Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Errata Note: Discovering Order Dependencies through Order Compatibility. CoRR abs/1905.02010 (2019) - [i26]Pei Li, Michael H. Böhlen, Jaroslaw Szlichta, Divesh Srivastava:
Discovery of Band Order Dependencies. CoRR abs/1905.11948 (2019) - [i25]Trong Duc Nguyen, Ming-Hung Shih, Sai Sree Parvathaneni, Bojian Xu, Divesh Srivastava, Srikanta Tirthapura:
Random Sampling for Group-By Queries. CoRR abs/1909.02629 (2019) - [i24]Aline Bessa, Juliana Freire, Divesh Srivastava, Tamraparni Dasu:
Efficient Discovery of Meaningful Outlier Relationships. CoRR abs/1910.08678 (2019) - 2018
- [j101]Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Data Change Exploration Using Time Series Clustering. Datenbank-Spektrum 18(2): 79-87 (2018) - [j100]Luciano Barbosa, Valter Crescenzi, Xin Luna Dong, Paolo Merialdo, Federico Piai, Disheng Qiu, Yanyan Shen, Divesh Srivastava:
Big Data Integration for Product Specifications. IEEE Data Eng. Bull. 41(2): 71-81 (2018) - [j99]Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava:
Robust Entity Resolution Using a CrowdOracle. IEEE Data Eng. Bull. 41(2): 91-103 (2018) - [j98]Kareem El Gebaly, Guoyao Feng, Lukasz Golab, Flip Korn, Divesh Srivastava:
Explanation Tables. IEEE Data Eng. Bull. 41(3): 43-51 (2018) - [j97]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) - [j96]Wei Chit Tan, Meihui Zhang, Hazem Elmeleegy, Divesh Srivastava:
REGAL+: Reverse Engineering SPJA Queries. Proc. VLDB Endow. 11(12): 1982-1985 (2018) - [j95]Tobias Bleifuß, Leon Bornemann, Theodore Johnson, Dmitri V. Kalashnikov, Felix Naumann, Divesh Srivastava:
Exploring Change - A New Dimension of Data Analytics. Proc. VLDB Endow. 12(2): 85-98 (2018) - [j94]Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava:
Effective and complete discovery of bidirectional order dependencies via set-based axioms. VLDB J. 27(4): 573-591 (2018) - [c220]Tamraparni Dasu, Yaron Kanza, Divesh Srivastava:
Geofences in the sky: herding drones with blockchains and 5G. SIGSPATIAL/GIS 2018: 73-76 - [c219]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. ICDE 2018: 845-856 - [c218]Alexandar Mihaylov, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
FASTOD: Bringing Order to Data. ICDE 2018: 1561-1564 - [c217]Luciano Barbosa, Valter Crescenzi, Xin Luna Dong, Paolo Merialdo, Federico Piai, Disheng Qiu, Yanyan Shen, Divesh Srivastava:
Lessons Learned and Research Agenda for Big Data Integration of Product Specifications. SEBD 2018 - [c216]Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Robust Entity Resolution using Random Graphs. SIGMOD Conference 2018: 3-18 - [c215]Disheng Qiu, Luciano Barbosa, Valter Crescenzi, Paolo Merialdo, Divesh Srivastava:
Big Data Linkage for Product Specification Pages. SIGMOD Conference 2018: 67-81 - [c214]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Marginal Release Under Local Differential Privacy. SIGMOD Conference 2018: 131-146 - [c213]Dmitri V. Kalashnikov, Laks V. S. Lakshmanan, Divesh Srivastava:
FastQRE: Fast Query Reverse Engineering. SIGMOD Conference 2018: 337-350 - [c212]Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang:
Privacy at Scale: Local Differential Privacy in Practice. SIGMOD Conference 2018: 1655-1658 - [e13]Alfredo Cuzzocrea, James Allan, Norman W. Paton, Divesh Srivastava, Rakesh Agrawal, Andrei Z. Broder, Mohammed J. Zaki, K. Selçuk Candan, Alexandros Labrinidis, Assaf Schuster, Haixun Wang:
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018. ACM 2018, ISBN 978-1-4503-6014-2 [contents] - [r4]Xin Luna Dong, Divesh Srivastava:
Data Fusion. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Xin Luna Dong, Divesh Srivastava:
Entity Resolution. Encyclopedia of Database Systems (2nd ed.) 2018 - [r2]Xin Luna Dong, Divesh Srivastava:
XML Indexing. Encyclopedia of Database Systems (2nd ed.) 2018 - [i23]Trong Duc Nguyen, Ming-Hung Shih, Divesh Srivastava, Srikanta Tirthapura, Bojian Xu:
Variance-Optimal Offline and Streaming Stratified Random Sampling. CoRR abs/1801.09039 (2018) - [i22]Tejas Kulkarni, Graham Cormode, Divesh Srivastava:
Answering Range Queries Under Local Differential Privacy. CoRR abs/1812.10942 (2018) - 2017
- [j93]Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava:
Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization. Proc. VLDB Endow. 10(7): 721-732 (2017) - [j92]Wei Chit Tan, Meihui Zhang, Hazem Elmeleegy, Divesh Srivastava:
Reverse Engineering Aggregation Queries. Proc. VLDB Endow. 10(11): 1394-1405 (2017) - [j91]Shazia Wasim Sadiq, Tamraparni Dasu, Xin Luna Dong, Juliana Freire, Ihab F. Ilyas, Sebastian Link, Renée J. Miller, Felix Naumann, Xiaofang Zhou, Divesh Srivastava:
Data Quality: The Role of Empiricism. SIGMOD Rec. 46(4): 35-43 (2017) - [j90]Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao:
PrivBayes: Private Data Release via Bayesian Networks. ACM Trans. Database Syst. 42(4): 25:1-25:41 (2017) - [c211]Xi He, Ashwin Machanavajjhala, Cheryl J. Flynn, Divesh Srivastava:
Composing Differential Privacy and Secure Computation: A Case Study on Scaling Private Record Linkage. CCS 2017: 1389-1406 - [c210]Carlos Ordonez, Theodore Johnson, Simon Urbanek, Vladislav Shkapenyuk, Divesh Srivastava:
Integrating the R Language Runtime System with a Data Stream Warehouse. DEXA (2) 2017: 217-231 - [c209]Carlos Ordonez, Theodore Johnson, Divesh Srivastava, Simon Urbanek:
A Tool for Statistical Analysis on Network Big Data. DEXA Workshops 2017: 32-36 - [c208]Tamraparni Dasu, Yaron Kanza, Divesh Srivastava:
Geotagging IP Packets for Location-Aware Software-Defined Networking in the Presence of Virtual Network Functions. SIGSPATIAL/GIS 2017: 9:1-9:4 - [c207]Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava:
Mind the Gaps (and Bumps): Statistical Smoothing of Spatiotemporal Streams. IWGS@SIGSPATIAL 2017: 29-38 - [c206]Guoyao Feng, Lukasz Golab, Divesh Srivastava:
Scalable Informative Rule Mining. ICDE 2017: 437-448 - [c205]Tobias Bleifuß, Theodore Johnson, Dmitri V. Kalashnikov, Felix Naumann, Vladislav Shkapenyuk, Divesh Srivastava:
Enabling Change Exploration: Vision Paper. ExploreDB@SIGMOD/PODS 2017: 1:1-1:3 - [c204]Divesh Srivastava:
Repairing Noisy Graphs. NDA@SIGMOD 2017: 2:1 - [c203]Siarhei Bykau, Jihwan Lee, Divesh Srivastava, Yannis Velegrakis:
"Tell me more" using Ladders in Wikipedia. WebDB 2017: 1-6 - [e12]Juan L. Reutter, Divesh Srivastava:
Proceedings of the 11th Alberto Mendelzon International Workshop on Foundations of Data Management and the Web, Montevideo, Uruguay, June 7-9, 2017. CEUR Workshop Proceedings 1912, CEUR-WS.org 2017 [contents] - [i21]Xi He, Ashwin Machanavajjhala, Cheryl J. Flynn, Divesh Srivastava:
Scaling Private Record Linkage using Output Constrained Differential Privacy. CoRR abs/1702.00535 (2017) - [i20]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Differential Privacy for Count Data. CoRR abs/1710.00608 (2017) - [i19]Tejas Kulkarni, Graham Cormode, Divesh Srivastava:
Marginal Release Under Local Differential Privacy. CoRR abs/1711.02952 (2017) - 2016
- [j89]<