Surajit Chaudhuri

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 78

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

CoRR

Proc. ACM Manag. Data

Publications

Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
Auto-Tables: Relationalize Tables without Using Examples. SIGMOD Rec. 53 (1) (2024)
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks. Proc. ACM Manag. Data 2 (3) (2024)
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
Wred: Workload Reduction for Scalable Index Tuning. Proc. ACM Manag. Data 2 (1) (2024)
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations. Proc. ACM Manag. Data 2 (3) (2024)
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
Wii: Dynamic Budget Reallocation In Index Tuning. Proc. ACM Manag. Data 2 (3) (2024)
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations. CoRR (2024)
Yiming Lin, Yeye He, Surajit Chaudhuri
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph. Proc. VLDB Endow. 16 (10) (2023)
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. CoRR (2023)
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
Table-GPT: Table-tuned GPT for Diverse Table Tasks. CoRR (2023)
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. Proc. VLDB Endow. 16 (11) (2023)
Tarique Siddiqui, Vivek R. Narasayya, Marius Dumitru, Surajit Chaudhuri
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets. Proc. VLDB Endow. 17 (4) (2023)
Erkang Zhu, Silu Huang, Surajit Chaudhuri
High-Performance Row Pattern Recognition Using Joins. Proc. VLDB Endow. 16 (5) (2023)
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. CoRR (2023)
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. KDD (2023)
Yiming Lin, Yeye He, Surajit Chaudhuri
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph. CoRR (2023)
Silu Huang, Erkang Zhu, Surajit Chaudhuri, Leonhard Spiegelberg
T-Rex: Optimizing Pattern Search on Time Series. Proc. ACM Manag. Data 1 (2) (2023)
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
Flexible Resource Allocation for Relational Database-as-a-Service. Proc. VLDB Endow. 16 (13) (2023)
Kukjin Lee, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server. Proc. VLDB Endow. 16 (11) (2023)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning. SIGMOD Conference (2022)
Magdalena Balazinska, Surajit Chaudhuri, AnHai Doan, Joseph M. Hellerstein, Hanuma Kodavalla, Ippokratis Pandis, Matei Zaharia
Cloud Data Systems: What are the Opportunities for the Database Research Community? Proc. VLDB Endow. 15 (12) (2022)
Srikanth Kandula, Laurel J. Orr, Surajit Chaudhuri
Data-induced predicates for sideways information passing in query optimizers. VLDB J. 31 (6) (2022)
Yue Wang, Vivek R. Narasayya, Yeye He, Surajit Chaudhuri
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication. Proc. VLDB Endow. 15 (6) (2022)
Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning. Proc. VLDB Endow. 15 (10) (2022)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek R. Narasayya, Surajit Chaudhuri, Philip A. Bernstein
Budget-aware Index Tuning with Reinforcement Learning. SIGMOD Conference (2022)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
The Seattle report on database research. Commun. ACM 65 (8) (2022)
Vivek R. Narasayya, Surajit Chaudhuri
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities. SIGMOD Conference (2022)
Tarique Siddiqui, Surajit Chaudhuri, Vivek R. Narasayya
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics. Proc. VLDB Endow. 14 (11) (2021)
Tarique Siddiqui, Surajit Chaudhuri, Vivek R. Narasayya
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics. CoRR (2021)
Kapil Vaidya, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri
Leveraging Query Logs and Machine Learning for Parametric Query Optimization. Proc. VLDB Endow. 15 (3) (2021)
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. CoRR (2021)
Vivek R. Narasayya, Surajit Chaudhuri
Cloud Data Services: Workloads, Architectures and Multi-Tenancy. Found. Trends Databases 10 (1) (2021)
Junwen Yang, Yeye He, Surajit Chaudhuri
AutoPipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search. CoRR (2021)
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek R. Narasayya
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems. Proc. VLDB Endow. 14 (13) (2021)
Junwen Yang, Yeye He, Surajit Chaudhuri
Auto-Pipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search. Proc. VLDB Endow. 14 (11) (2021)
Yeye He, Jie Song, Yue Wang, Surajit Chaudhuri, Vishal Anil, Blake Lassiter, Yaron Goland, Gaurav Malhotra
Auto-Tag: Tagging-Data-By-Example in Data Lakes. CoRR (2021)
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Pouria Pirzadeh, Andrew Fogarty, Gurleen Dhody, Jiying Li, Vidip Acharya, Sinduja Ramanujam, Nicolas Bruno, César A. Galindo-Legaria, Vivek R. Narasayya, Surajit Chaudhuri, Anil Nori, Tomas Talius, Raghu Ramakrishnan
Hyperspace: The Indexing Subsystem of Azure Synapse. Proc. VLDB Endow. 14 (12) (2021)
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. SIGMOD Conference (2021)
Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation. Proc. VLDB Endow. 15 (3) (2021)
Anshuman Dutt, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models. Proc. VLDB Endow. 13 (11) (2020)
Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri, Guihong Cao, Surajit Chaudhuri
TableQnA: Answering List Intent Queries With Web Tables. CoRR (2020)
Yeye He, Zhongjun Jin, Surajit Chaudhuri
Auto-Transform: Learning-to-Transform by Patterns. Proc. VLDB Endow. 13 (11) (2020)
Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya
Bitvector-aware Query Optimization for Decision Support Queries (extended version). CoRR (2020)
Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya
Bitvector-aware Query Optimization for Decision Support Queries. SIGMOD Conference (2020)
Magda Balazinska, Surajit Chaudhuri, Anastasia Ailamaki, Juliana Freire, Sailesh Krishnamurthy, Michael Stonebraker
The Next 5 Years: What Opportunities Should the Database Community Seize to Maximize its Impact? SIGMOD Conference (2020)
Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc T. Friedman
Experiences with Approximating Queries in Microsoft's Production Big-Data Clusters. Proc. VLDB Endow. 12 (12) (2019)
Zhimin Chen, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri
Customizable and Scalable Fuzzy Join for Big Data. Proc. VLDB Endow. 12 (12) (2019)
Laurel J. Orr, Srikanth Kandula, Surajit Chaudhuri
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters. Proc. VLDB Endow. 13 (3) (2019)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
The Seattle Report on Database Research. SIGMOD Rec. 48 (4) (2019)
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek R. Narasayya, Surajit Chaudhuri
Selectivity Estimation for Range Predicates using Lightweight Models. Proc. VLDB Endow. 12 (9) (2019)
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek R. Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database. SIGMOD Conference (2019)
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations. SIGMOD Conference (2019)
Leilani Battle, Surajit Chaudhuri, Arnab Nandi
International Workshop on Human-In-the-Loop Data Analytics (HILDA). SIGMOD Conference (2019)
Surajit Chaudhuri
To do or not to do: extending SQL with integer linear programming?: technical perspective. Commun. ACM 62 (2) (2019)
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. AAAI (2019)
Surajit Chaudhuri, Jayant R. Haritsa
Special issue on best papers of VLDB 2016. VLDB J. 27 (5) (2018)
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Interactive Demonstration of Probabilistic Predicates. SIGMOD Conference (2018)
Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations. Proc. VLDB Endow. 11 (10) (2018)
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya
Plan Stitch: Harnessing the Best of Many Plans. Proc. VLDB Endow. 11 (10) (2018)
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri
Accelerating Machine Learning Inference with Probabilistic Predicates. SIGMOD Conference (2018)
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel. SIGMOD Conference (2018)
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. CoRR (2018)
Azade Nazi, Bolin Ding, Vivek R. Narasayya, Surajit Chaudhuri
Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches. Proc. VLDB Endow. 11 (10) (2018)
Erkang Zhu, Yeye He, Surajit Chaudhuri
Auto-Join: Joining Tables by Leveraging Transformations. Proc. VLDB Endow. 10 (10) (2017)
Farid Alborzi, Surajit Chaudhuri, Rada Chirkova, Pallavi Deo, Christopher G. Healey, Gargi Pingale, Juan L. Reutter, Vaira Selvakani
DataSlicer: Task-Based Data Selection for Visual Data Exploration. CoRR (2017)
Surajit Chaudhuri
Technical Perspective: Reflections on Extending SQL using Constraints. SIGMOD Rec. 46 (1) (2017)
Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees. SIGMOD Conference (2017)
Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
Approximate Query Processing: No Silver Bullet. SIGMOD Conference (2017)
Kukjin Lee, Arnd Christian König, Vivek R. Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma V. Nehme, Jiexing Li, Jeffrey F. Naughton
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics. SIGMOD Conference (2016)
Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding
Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters. SIGMOD Conference (2016)
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee. SIGMOD Conference (2016)
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
Data services leveraging Bing's data assets. IEEE Data Eng. Bull. 39 (3) (2016)
Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom
The Beckman report on database research. Commun. ACM 59 (2) (2016)
Vivek R. Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service. Proc. VLDB Endow. 8 (7) (2015)
Surajit Chaudhuri, Jayant R. Haritsa
Front Matter. Proc. VLDB Endow. 9 (1) (2015)
Shobana Balakrishnan, Surajit Chaudhuri, Vivek R. Narasayya
AutoTag 'n Search My Photos: Leveraging the Social Graph for Photo Tagging. WWW (Companion Volume) (2015)
Stratos Idreos, Olga Papaemmanouil, Surajit Chaudhuri
Overview of Data Exploration Techniques. SIGMOD Conference (2015)
Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
S4: Top-k Spreadsheet-Style Search for Query Discovery. SIGMOD Conference (2015)
Surajit Chaudhuri
Information at your Fingertips: Only a dream for enterprises? ICDE (2015)
Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers. CoRR (2014)
Zhimin Chen, Vivek R. Narasayya, Surajit Chaudhuri
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel. Proc. VLDB Endow. 7 (13) (2014)
Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom
The Beckman Report on Database Research. SIGMOD Rec. 43 (3) (2014)
Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers. Proc. VLDB Endow. 7 (14) (2014)
Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik
Discovering queries based on example tuples. SIGMOD Conference (2014)
Akash Das Sarma, Yeye He, Surajit Chaudhuri
ClusterJoin: A Similarity Joins Framework using Map-Reduce. Proc. VLDB Endow. 7 (12) (2014)
Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala
Database Application Developer Tools Using Static Analysis and Dynamic Profiling. IEEE Data Eng. Bull. 37 (1) (2014)
Surajit Chaudhuri
Big Data and Enterprise Analytics. AMW (2013)
Vivek R. Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
A demonstration of SQLVM: performance isolation in multi-tenant relational database-as-a-service. SIGMOD Conference (2013)
Vivek R. Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service. CIDR (2013)
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala
Data services for E-tailers leveraging web search engine assets. ICDE (2013)
Surajit Chaudhuri
How Different is Big Data? ICDE (2012)
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek R. Narasayya
Experiences with using Data Cleaning Technology for Bing Services. IEEE Data Eng. Bull. 35 (2) (2012)
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, Surajit Chaudhuri
InfoGather: entity augmentation and attribute discovery by holistic matching with web tables. SIGMOD Conference (2012)
Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya
A Statistical Approach Towards Robust Progress Estimation CoRR (2012)
Jiexing Li, Arnd Christian König, Vivek R. Narasayya, Surajit Chaudhuri
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques CoRR (2012)
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
Targeted disambiguation of ad-hoc, homogeneous sets of named entities. WWW (2012)
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin
A framework for robust discovery of entity synonyms. KDD (2012)
Surajit Chaudhuri
What next?: a half-dozen data management research goals for big data and the cloud. PODS (2012)
Jiexing Li, Arnd Christian König, Vivek R. Narasayya, Surajit Chaudhuri
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques. Proc. VLDB Endow. 5 (11) (2012)
Surajit Chaudhuri, Yi Chen, Jeffrey Xu Yu
Guest Editors Introduction: Special Section on Keyword Search on Structured Data. IEEE Trans. Knowl. Data Eng. 23 (12) (2011)
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek R. Narasayya
Towards a Domain Independent Platform for Data Cleaning. IEEE Data Eng. Bull. 34 (3) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Surajit Chaudhuri