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ORCIDDivesh Srivastava
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2020 – today
- 2021
[j113]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)- [j112]Graham Cormode
, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. IEEE Trans. Knowl. Data Eng. 33(2): 415-430 (2021) - [c238]Shuaicheng Ma, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava, Li Xiong:
Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality. CIDR 2021 - [c237]Lukasz Golab, Divesh Srivastava:
Exploring Data Using Pa erns: A Survey and Open Problems. DOLAP 2021: 116-120 - [c236]Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Efficient Discovery of Approximate Order Dependencies. EDBT 2021: 427-432 - [i32]Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Efficient Discovery of Approximate Order Dependencies. CoRR abs/2101.02174 (2021) - [i31]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) - 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]Shazia W. Sadiq, Divesh Srivastava:
Letter from the Special Issue Editors. IEEE Data Eng. Bull. 39(2): 6 (2016) - [j88]Tamraparni Dasu, Rong Duan, Divesh Srivastava:
Data Quality for Temporal Streams. IEEE Data Eng. Bull. 39(2): 78-92 (2016) - [j87]Donatella Firmani, Barna Saha, Divesh Srivastava:
Online Entity Resolution Using an Oracle. Proc. VLDB Endow. 9(5): 384-395 (2016) - [j86]Sneha Aman Singh, Divesh Srivastava, Srikanta Tirthapura:
Estimating Quantiles from the Union of Historical and Streaming Data. Proc. VLDB Endow. 10(4): 433-444 (2016) - [c202]HongYun Cai, Zi Huang, Divesh Srivastava, Qing Zhang:
Indexing evolving events from tweet streams. ICDE 2016: 1538-1539 - [c201]Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, Divesh Srivastava:
SourceSight: Enabling Effective Source Selection. SIGMOD Conference 2016: 2157-2160 - [i18]Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava:
Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization. CoRR abs/1608.06169 (2016) - [i17]Anja Gruenheid, Donald Kossmann, Divesh Srivastava:
Online Event Integration with StoryPivot. CoRR abs/1610.07732 (2016) - 2015
- [b2]Xin Luna Dong, Divesh Srivastava:
Big Data Integration. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2015, pp. 1-198 - [j85]Xi He, Graham Cormode, Ashwin Machanavajjhala, Cecilia M. Procopiuc, Divesh Srivastava:
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems. Proc. VLDB Endow. 8(11): 1154-1165 (2015) - [j84]Tamraparni Dasu, Vladislav Shkapenyuk, Divesh Srivastava, Deborah F. Swayne:
FIT to Monitor Feed Quality. Proc. VLDB Endow. 8(12): 1728-1739 (2015) - [j83]Shanshan Ying, Flip Korn, Barna Saha, Divesh Srivastava:
TreeScope: Finding Structural Anomalies In Semi-Structured Data. Proc. VLDB Endow. 8(12): 1904-1907 (2015) - [j82]Disheng Qiu, Luciano Barbosa, Xin Luna Dong, Yanyan Shen, Divesh Srivastava:
DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web. Proc. VLDB Endow. 8(13): 2194-2205 (2015) - [j81]Nataliya Prokoshyna, Jaroslaw Szlichta, Fei Chiang, Renée J. Miller, Divesh Srivastava:
Combining Quantitative and Logical Data Cleaning. Proc. VLDB Endow. 9(4): 300-311 (2015) - [j80]HongYun Cai, Zi Huang, Divesh Srivastava, Qing Zhang:
Indexing Evolving Events from Tweet Streams. IEEE Trans. Knowl. Data Eng. 27(11): 3001-3015 (2015) - [j79]Katsiaryna Mirylenka, Graham Cormode, Themis Palpanas, Divesh Srivastava:
Conditional heavy hitters: detecting interesting correlations in data streams. VLDB J. 24(3): 395-414 (2015) - [c200]Jaroslaw Szlichta, Lukasz Golab, Divesh Srivastava:
On Axiomatization and Inference Complexity over a Hierarchy of Functional Dependencies. AMW 2015 - [c199]Theodoros Rekatsinas, Xin Luna Dong, Lise Getoor, Divesh Srivastava:
Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration. CIDR 2015 - [c198]Xian Li, Xin Luna Dong, Kenneth B. Lyons, Weiyi Meng, Divesh Srivastava:
Scaling up copy detection. ICDE 2015: 89-100 - [c197]Lukasz Golab, Flip Korn, Feng Li, Barna Saha, Divesh Srivastava:
Size-Constrained Weighted Set Cover. ICDE 2015: 879-890 - [c196]Siarhei Bykau, Flip Korn, Divesh Srivastava, Yannis Velegrakis:
Fine-grained controversy detection in Wikipedia. ICDE 2015: 1573-1584 - [c195]Simon Razniewski, Flip Korn, Werner Nutt, Divesh Srivastava:
Identifying the Extent of Completeness of Query Answers over Partially Complete Databases. SIGMOD Conference 2015: 561-576 - [c194]Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao:
Private Release of Graph Statistics using Ladder Functions. SIGMOD Conference 2015: 731-745 - [c193]Anja Gruenheid, Donald Kossmann, Theodoros Rekatsinas, Divesh Srivastava:
StoryPivot: Comparing and Contrasting Story Evolution. SIGMOD Conference 2015: 1415-1420 - [c192]Xin Luna Dong, Divesh Srivastava:
Knowledge Curation and Knowledge Fusion: Challenges, Models and Applications. SIGMOD Conference 2015: 2063-2066 - [c191]Serge Abiteboul, Xin Luna Dong, Oren Etzioni, Divesh Srivastava, Gerhard Weikum, Julia Stoyanovich, Fabian M. Suchanek:
The elephant in the room: getting value from Big Data. WebDB 2015: 1-5 - [c190]Pei Li, Xin Luna Dong, Songtao Guo, Andrea Maurino, Divesh Srivastava:
Robust Group Linkage. WWW 2015: 647-657 - [i16]Xian Li, Xin Luna Dong, Kenneth Lyons, Weiyi Meng, Divesh Srivastava:
Truth Finding on the Deep Web: Is the Problem Solved? CoRR abs/1503.00303 (2015) - [i15]Ravali Pochampally, Anish Das Sarma, Xin Luna Dong, Alexandra Meliou, Divesh Srivastava:
Fusing Data with Correlations. CoRR abs/1503.00306 (2015) - [i14]Xian Li, Xin Luna Dong, Kenneth Lyons, Weiyi Meng, Divesh Srivastava:
Scaling up Copy Detection. CoRR abs/1503.00309 (2015) - [i13]Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Data Fusion: Resolving Conflicts from Multiple Sources. CoRR abs/1503.00310 (2015) - [i12]Pei Li, Xin Luna Dong, Songtao Guo, Andrea Maurino, Divesh Srivastava:
Robust Group Linkage. CoRR abs/1503.00604 (2015) - 2014
- [j78]Divesh Srivastava:
Front Matter. Proc. VLDB Endow. 7(8): i-ix (2014) - [j77]Anja Gruenheid, Xin Luna Dong, Divesh Srivastava:
Incremental Record Linkage. Proc. VLDB Endow. 7(9): 697-708 (2014) - [j76]Kareem El Gebaly, Parag Agrawal, Lukasz Golab, Flip Korn, Divesh Srivastava:
Interpretable and Informative Explanations of Outcomes. Proc. VLDB Endow. 8(1): 61-72 (2014) - [j75]Divesh Srivastava, S. Sudarshan:
Front Matter. Proc. VLDB Endow. 8(3): i-ix (2014) - [j74]Lukasz Golab, Howard J. Karloff, Flip Korn, Barna Saha, Divesh Srivastava:
Discovering Conservation Rules. IEEE Trans. Knowl. Data Eng. 26(6): 1332-1348 (2014) - [j73]Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava, Michael Svendsen, Srikanta Tirthapura:
Dense subgraph maintenance under streaming edge weight updates for real-time story identification. VLDB J. 23(2): 175-199 (2014) - [c189]Barna Saha, Divesh Srivastava:
Data quality: The other face of Big Data. ICDE 2014: 1294-1297 - [c188]Tamraparni Dasu, Ji Meng Loh, Divesh Srivastava:
Empirical glitch explanations. KDD 2014: 572-581 - [c187]Ravali Pochampally, Anish Das Sarma, Xin Luna Dong, Alexandra Meliou, Divesh Srivastava:
Fusing data with correlations. SIGMOD Conference 2014: 433-444 - [c186]Theodoros Rekatsinas, Xin Luna Dong, Divesh Srivastava:
Characterizing and selecting fresh data sources. SIGMOD Conference 2014: 919-930 - [c185]Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao:
PrivBayes: private data release via bayesian networks. SIGMOD Conference 2014: 1423-1434 - [e11]Srikanta Bedathur, Divesh Srivastava, Satyanarayana R. Valluri:
20th International Conference on Management of Data, COMAD 2014, Hyderabad, India, December 17-19, 2014. Computer Society of India 2014 [contents] - 2013
- [j72]Dan Olteanu, Divesh Srivastava:
Front Matter. Proc. VLDB Endow. 6(5): i-x (2013) - [j71]