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2020 – today
- 2024
[j102]Bailu Ding, Vivek R. Narasayya, Surajit Chaudhuri:
Extensible Query Optimizers in Practice. Found. Trends Databases 14(3-4): 186-402 (2024)- [j101]Matteo Brucato
, Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri:
Wred: Workload Reduction for Scalable Index Tuning. Proc. ACM Manag. Data 2(1): 50:1-50:26 (2024) - [j100]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): 122 (2024) - [j99]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): 176 (2024) - [j98]Xiaoying Wang, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri:
Wii: Dynamic Budget Reallocation In Index Tuning. Proc. ACM Manag. Data 2(3): 182 (2024) - [j97]Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri:
Auto-Tables: Relationalize Tables without Using Examples. SIGMOD Rec. 53(1): 76-85 (2024) - [i22]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 abs/2404.12608 (2024) - [i21]Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri:
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning. CoRR abs/2410.12164 (2024) - 2023
- [j96]Silu Huang, Erkang Zhu, Surajit Chaudhuri, Leonhard Spiegelberg:
T-Rex: Optimizing Pattern Search on Time Series. Proc. ACM Manag. Data 1(2): 130:1-130:26 (2023) - [j95]Erkang Zhu, Silu Huang, Surajit Chaudhuri:
High-Performance Row Pattern Recognition Using Joins. Proc. VLDB Endow. 16(5): 1181-1194 (2023) - [j94]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): 2578-2590 (2023) - [j93]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): 2871-2883 (2023) - [j92]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): 3391-3403 (2023) - [j91]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 R. 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): 4202-4215 (2023) - [j90]Tarique Siddiqui, Vivek R. Narasayya, Marius Dumitru, Surajit Chaudhuri:
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets. Proc. VLDB Endow. 17(4): 644-656 (2023) - [c157]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: 4991-5003 - [i20]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 abs/2306.02421 (2023) - [i19]Yiming Lin, Yeye He, Surajit Chaudhuri:
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph. CoRR abs/2306.12515 (2023) - [i18]Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri:
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. CoRR abs/2307.14565 (2023) - [i17]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 abs/2310.09263 (2023) - 2022
- [j89]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): 72-79 (2022) - [j88]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): 1132-1145 (2022) - [j87]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): 2019-2031 (2022) - [j86]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): 3826-3827 (2022) - [j85]Srikanth Kandula, Laurel J. Orr, Surajit Chaudhuri:
Data-induced predicates for sideways information passing in query optimizers. VLDB J. 31(6): 1263-1290 (2022) - [c156]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: 660-673 - [c155]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: 1528-1541 - [c154]Vivek R. Narasayya, Surajit Chaudhuri:
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities. SIGMOD Conference 2022: 2465-2473 - 2021
- [j84]Vivek R. Narasayya, Surajit Chaudhuri:
Cloud Data Services: Workloads, Architectures and Multi-Tenancy. Found. Trends Databases 10(1): 1-107 (2021) - [j83]Tarique Siddiqui, Surajit Chaudhuri, Vivek R. Narasayya:
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics. Proc. VLDB Endow. 14(11): 2419-2431 (2021) - [j82]Junwen Yang, Yeye He, Surajit Chaudhuri:
Auto-Pipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search. Proc. VLDB Endow. 14(11): 2563-2575 (2021) - [j81]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): 3043-3055 (2021) - [j80]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): 3376-3388 (2021) - [j79]Kapil Vaidya, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri:
Leveraging Query Logs and Machine Learning for Parametric Query Optimization. Proc. VLDB Endow. 15(3): 401-413 (2021) - [j78]Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri:
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation. Proc. VLDB Endow. 15(3): 414-426 (2021) - [c153]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. SIGMOD Conference 2021: 1064-1076 - [i16]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. CoRR abs/2103.04489 (2021) - [i15]Junwen Yang, Yeye He, Surajit Chaudhuri:
AutoPipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search. CoRR abs/2106.13861 (2021) - [i14]Tarique Siddiqui, Surajit Chaudhuri, Vivek R. Narasayya:
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics. CoRR abs/2107.11967 (2021) - [i13]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 abs/2112.06049 (2021) - 2020
- [j77]Anshuman Dutt, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri:
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models. Proc. VLDB Endow. 13(11): 2215-2228 (2020) - [j76]Yeye He, Zhongjun Jin, Surajit Chaudhuri:
Auto-Transform: Learning-to-Transform by Patterns. Proc. VLDB Endow. 13(11): 2368-2381 (2020) - [c152]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: 411-414 - [c151]Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya:
Bitvector-aware Query Optimization for Decision Support Queries. SIGMOD Conference 2020: 2011-2026 - [i12]Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri, Guihong Cao, Surajit Chaudhuri:
TableQnA: Answering List Intent Queries With Web Tables. CoRR abs/2001.04828 (2020) - [i11]Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya:
Bitvector-aware Query Optimization for Decision Support Queries (extended version). CoRR abs/2005.03328 (2020) - no results
2010 – 2019
- 2019
- [j75]Surajit Chaudhuri:
To do or not to do: extending SQL with integer linear programming?: technical perspective. Commun. ACM 62(2): 107 (2019) - [j74]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): 1044-1057 (2019) - [j73]Zhimin Chen, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri:
Customizable and Scalable Fuzzy Join for Big Data. Proc. VLDB Endow. 12(12): 2106-2117 (2019) - [j72]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): 2131-2142 (2019) - [j71]Laurel J. Orr, Srikanth Kandula, Surajit Chaudhuri:
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters. Proc. VLDB Endow. 13(3): 252-265 (2019) - [j70]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): 44-53 (2019) - [c150]Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri:
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. AAAI 2019: 3862-3869 - [c149]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: 666-679 - [c148]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: 1241-1258 - [c147]Leilani Battle, Surajit Chaudhuri, Arnab Nandi:
International Workshop on Human-In-the-Loop Data Analytics (HILDA). SIGMOD Conference 2019: 2072 - 2018
- [j69]Azade Nazi, Bolin Ding, Vivek R. Narasayya, Surajit Chaudhuri:
Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches. Proc. VLDB Endow. 11(10): 1097-1109 (2018) - [j68]Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya:
Plan Stitch: Harnessing the Best of Many Plans. Proc. VLDB Endow. 11(10): 1123-1136 (2018) - [j67]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): 1165-1177 (2018) - [j66]Surajit Chaudhuri, Jayant R. Haritsa:
Special issue on best papers of VLDB 2016. VLDB J. 27(5): 593-594 (2018) - [c146]Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri:
Accelerating Machine Learning Inference with Probabilistic Predicates. SIGMOD Conference 2018: 1493-1508 - [c145]Yao Lu, Srikanth Kandula, Surajit Chaudhuri:
Interactive Demonstration of Probabilistic Predicates. SIGMOD Conference 2018: 1669-1672 - [c144]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: 1785-1788 - [r8]Nicolas Bruno, Surajit Chaudhuri, Gerhard Weikum:
Database Tuning Using Online Algorithms. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Surajit Chaudhuri, Vivek R. Narasayya, Gerhard Weikum:
Database Tuning Using Combinatorial Search. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Surajit Chaudhuri, Gerhard Weikum:
Database Tuning Using Trade-Off Elimination. Encyclopedia of Database Systems (2nd ed.) 2018 - [r5]Surajit Chaudhuri, Gerhard Weikum:
Self-Management Technology in Databases. Encyclopedia of Database Systems (2nd ed.) 2018 - [i10]Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri:
Efficient Identification of Approximate Best Configuration of Training in Large Datasets. CoRR abs/1811.03250 (2018) - 2017
- [j65]Erkang Zhu, Yeye He, Surajit Chaudhuri:
Auto-Join: Joining Tables by Leveraging Transformations. Proc. VLDB Endow. 10(10): 1034-1045 (2017) - [j64]Surajit Chaudhuri:
Technical Perspective: Reflections on Extending SQL using Constraints. SIGMOD Rec. 46(1): 23 (2017) - [c143]Surajit Chaudhuri, Bolin Ding, Srikanth Kandula:
Approximate Query Processing: No Silver Bullet. SIGMOD Conference 2017: 511-519 - [c142]Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri:
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees. SIGMOD Conference 2017: 1539-1554 - [i9]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 abs/1703.09218 (2017) - 2016
- [j63]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): 92-99 (2016) - [j62]Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He:
Data services leveraging Bing's data assets. IEEE Data Eng. Bull. 39(3): 15-28 (2016) - [c141]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: 631-646 - [c140]Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang:
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee. SIGMOD Conference 2016: 679-694 - [c139]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: 1753-1764 - 2015
- [j61]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): 726-737 (2015) - [j60]Surajit Chaudhuri, Jayant R. Haritsa:
Front Matter. Proc. VLDB Endow. 9(1): i-vii (2015) - [c138]Surajit Chaudhuri:
Information at your Fingertips: Only a dream for enterprises? ICDE 2015: 1-4 - [c137]Stratos Idreos, Olga Papaemmanouil, Surajit Chaudhuri:
Overview of Data Exploration Techniques. SIGMOD Conference 2015: 277-281 - [c136]Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri:
S4: Top-k Spreadsheet-Style Search for Query Discovery. SIGMOD Conference 2015: 2001-2016 - [c135]Shobana Balakrishnan, Surajit Chaudhuri, Vivek R. Narasayya:
AutoTag 'n Search My Photos: Leveraging the Social Graph for Photo Tagging. WWW (Companion Volume) 2015: 163-166 - 2014
- [j59]Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala:
Database Application Developer Tools Using Static Analysis and Dynamic Profiling. IEEE Data Eng. Bull. 37(1): 38-47 (2014) - [j58]Akash Das Sarma, Yeye He, Surajit Chaudhuri:
ClusterJoin: A Similarity Joins Framework using Map-Reduce. Proc. VLDB Endow. 7(12): 1059-1070 (2014) - [j57]Zhimin Chen, Vivek R. Narasayya, Surajit Chaudhuri:
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel. Proc. VLDB Endow. 7(13): 1417-1428 (2014) - [j56]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): 1809-1820 (2014) - [j55]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): 61-70 (2014) - [c134]Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik:
Discovering queries based on example tuples. SIGMOD Conference 2014: 493-504 - [i8]Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti:
Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers. CoRR abs/1409.1292 (2014) - 2013
- [c133]Surajit Chaudhuri:
Big Data and Enterprise Analytics. AMW 2013 - [c132]Vivek R. Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri:
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service. CIDR 2013 - [c131]Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala:
Data services for E-tailers leveraging web search engine assets. ICDE 2013: 1153-1164 - [c130]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: 1077-1080 - 2012
- [j54]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): 14-23 (2012) - [j53]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): 1555-1566 (2012) - [c129]Surajit Chaudhuri:
How Different is Big Data? ICDE 2012: 5 - [c128]Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin:
A framework for robust discovery of entity synonyms. KDD 2012: 1384-1392 - [c127]Surajit Chaudhuri:
What next?: a half-dozen data management research goals for big data and the cloud. PODS 2012: 1-4 - [c126]Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, Surajit Chaudhuri:
InfoGather: entity augmentation and attribute discovery by holistic matching with web tables. SIGMOD Conference 2012: 97-108 - [c125]Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri:
Targeted disambiguation of ad-hoc, homogeneous sets of named entities. WWW 2012: 719-728 - [i7]Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya:
A Statistical Approach Towards Robust Progress Estimation. CoRR abs/1201.0234 (2012) - [i6]Jiexing Li, Arnd Christian König, Vivek R. Narasayya, Surajit Chaudhuri:
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques. CoRR abs/1208.0278 (2012) - 2011
- [j52]Surajit Chaudhuri, Umeshwar Dayal, Vivek R. Narasayya:
An overview of business intelligence technology. Commun. ACM 54(8): 88-98 (2011) - [j51]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): 43-50 (2011) - [j50]Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek R. Narasayya, Ravishankar Ramamurthy, Manoj Syamala:
AutoAdmin Project at Microsoft Research: Lessons Learned. IEEE Data Eng. Bull. 34(4): 12-19 (2011) - [j49]Surajit Chaudhuri, Vivek R. Narasayya:
New Frontiers in Business Intelligence. Proc. VLDB Endow. 4(12): 1502-1503 (2011) - [j48]Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya:
A Statistical Approach Towards Robust Progress Estimation. Proc. VLDB Endow. 5(4): 382-393 (2011) - [j47]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): 1761-1762 (2011) - [c124]Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy:
Database Access Control and Privacy: Is there a common ground? CIDR 2011: 96-103 - [c123]Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti:
Interval-based pruning for top-k processing over compressed lists. ICDE 2011: 709-720 - [c122]Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin:
EntityTagger: automatically tagging entities with descriptive phrases. WWW (Companion Volume) 2011: 19-20 - 2010
- [j46]Daniel Abadi, Michael J. Carey, Surajit Chaudhuri, Hector Garcia-Molina, Jignesh M. Patel, Raghu Ramakrishnan:
Cloud Databases: What's New? Proc. VLDB Endow. 3(2): 1657 (2010) - [j45]Nicolas Bruno, Surajit Chaudhuri:
Constrained physical design tuning. VLDB J. 19(1): 21-44 (2010) - [c121]Surajit Chaudhuri, Leo Giakoumakis, Vivek R. Narasayya, Ravishankar Ramamurthy:
Rule profiling for query optimizers and their implications. ICDE 2010: 1072-1080 - [c120]Nicolas Bruno, Surajit Chaudhuri:
Interactive physical design tuning. ICDE 2010: 1161-1164 - [c119]Surajit Chaudhuri, Hongrae Lee, Vivek R. Narasayya:
Variance aware optimization of parameterized queries. SIGMOD Conference 2010: 531-542 - [c118]Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, Dong Xin:
Query portals: dynamically generating portals for entity-oriented web queries. SIGMOD Conference 2010: 1171-1174 - [e4]Joseph M. Hellerstein, Surajit Chaudhuri, Mendel Rosenblum:
Proceedings of the 1st ACM Symposium on Cloud Computing, SoCC 2010, Indianapolis, Indiana, USA, June 10-11, 2010. ACM 2010, ISBN 978-1-4503-0036-0 [contents] - no results
2000 – 2009
- 2009
- [j44]Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer, Michael J. Carey, Surajit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Henry F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O'Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, Gerhard Weikum:
The Claremont report on database research. Commun. ACM 52(6): 56-65 (2009) - [j43]Surajit Chaudhuri:
Technical perspective - Relational query optimization: data management meets statistical estimation. Commun. ACM 52(10): 86 (2009) - [j42]Surajit Chaudhuri, Venkatesh Ganti, Dong Xin:
Mining Document Collections to Facilitate Accurate Approximate Entity Matching. Proc. VLDB Endow. 2(1): 395-406 (2009) - [j41]Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik:
Learning String Transformations From Examples. Proc. VLDB Endow. 2(1): 514-525 (2009) - [j40]Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy:
Exact Cardinality Query Optimization for Optimizer Testing. Proc. VLDB Endow. 2(1): 994-1005 (2009) - [j39]Surajit Chaudhuri, Gautam Das:
Keyword querying and Ranking in Databases. Proc. VLDB Endow. 2(2): 1658-1659 (2009) - [c117]Albert Angel, Surajit Chaudhuri, Gautam Das, Nick Koudas:
Ranking objects based on relationships and fixed associations. EDBT 2009: 910-921 - [c116]Nicolas Bruno, Surajit Chaudhuri, Ravishankar Ramamurthy:
Power Hints for Query Optimization. ICDE 2009: 469-480 - [c115]Surajit Chaudhuri:
Structured data and web documents: better together? KEYS 2009: 1 - [c114]Arjun Dasgupta, Nan Zhang, Gautam Das, Surajit Chaudhuri:
Privacy preservation of aggregates in hidden databases: why and how? SIGMOD Conference 2009: 153-164 - [c113]Surajit Chaudhuri, Raghav Kaushik:
Extending autocompletion to tolerate errors. SIGMOD Conference 2009: 707-718 - [c112]Surajit Chaudhuri:
Query optimizers: time to rethink the contract? SIGMOD Conference 2009: 961-968 - [c111]Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala:
Bridging the application and DBMS divide using static analysis and dynamic profiling. SIGMOD Conference 2009: 1039-1042 - [c110]Nicolas Bruno, Surajit Chaudhuri, Ravishankar Ramamurthy:
Interactive plan hints for query optimization. SIGMOD Conference 2009: 1043-1046 - [c109]Surajit Chaudhuri, Venkatesh Ganti, Dong Xin:
Exploiting web search to generate synonyms for entities. WWW 2009: 151-160 - [c108]Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, Dong Xin:
Exploiting web search engines to search structured databases. WWW 2009: 501-510 - [r4]Surajit Chaudhuri, Vivek R. Narasayya, Gerhard Weikum:
Database Tuning using Combinatorial Search. Encyclopedia of Database Systems 2009: 738-741 - [r3]Nicolas Bruno, Surajit Chaudhuri, Gerhard Weikum:
Database Tuning using Online Algorithms. Encyclopedia of Database Systems 2009: 741-744 - [r2]Surajit Chaudhuri, Gerhard Weikum:
Database Tuning using Trade-off Elimination. Encyclopedia of Database Systems 2009: 744-748 - [r1]Surajit Chaudhuri, Gerhard Weikum:
Self-Management Technology in Databases. Encyclopedia of Database Systems 2009: 2550-2555 - 2008
- [j38]Nicolas Bruno, Surajit Chaudhuri:
Constrained physical design tuning. Proc. VLDB Endow. 1(1): 4-15 (2008) - [j37]Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti:
Scalable ad-hoc entity extraction from text collections. Proc. VLDB Endow. 1(1): 945-957 (2008) - [j36]Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy:
A pay-as-you-go framework for query execution feedback. Proc. VLDB Endow. 1(1): 1141-1152 (2008) - [j35]Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer, Michael J. Carey, Surajit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Henry F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O'Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, Gerhard Weikum:
The Claremont report on database research. SIGMOD Rec. 37(3): 9-19 (2008) - [c107]Surajit Chaudhuri:
Decision Support Queries: A solved problem? COMAD 2008: 3 - [c106]Surajit Chaudhuri:
Self-tuning Database Systems: Past, Present and Future. DASFAA 2008: 2 - [c105]Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik:
Transformation-based Framework for Record Matching. ICDE 2008: 40-49 - [c104]Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy:
Diagnosing Estimation Errors in Page Counts Using Execution Feedback. ICDE 2008: 1013-1022 - [c103]Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Dong Xin:
An efficient filter for approximate membership checking. SIGMOD Conference 2008: 805-818 - [c102]Arvind Arasu, Surajit Chaudhuri, Kris Ganjam, Raghav Kaushik:
Incorporating string transformations in record matching. SIGMOD Conference 2008: 1231-1234 - 2007
- [j34]Anastassia Ailamaki, Surajit Chaudhuri, Sam Lightstone, Guy M. Lohman, Patrick Martin, Kenneth Salem, Gerhard Weikum:
Report on the Second International Workshop on Self-Managing Database Systems (SMDB 2007). IEEE Data Eng. Bull. 30(2): 2-4 (2007) - [j33]Surajit Chaudhuri, Gautam Das, Vivek R. Narasayya:
Optimized stratified sampling for approximate query processing. ACM Trans. Database Syst. 32(2): 9 (2007) - [j32]Surajit Chaudhuri:
Introduction to ACM SIGMOD 2006 conference papers. ACM Trans. Database Syst. 32(4): 20 (2007) - [j31]Nicolas Bruno, Surajit Chaudhuri:
Physical design refinement: The 'merge-reduce' approach. ACM Trans. Database Syst. 32(4): 28 (2007) - [c101]Nicolas Bruno, Surajit Chaudhuri:
An Online Approach to Physical Design Tuning. ICDE 2007: 826-835 - [c100]Surajit Chaudhuri, Tanmoy Dutta, S. Sudarshan:
Fine Grained Authorization Through Predicated Grants. ICDE 2007: 1174-1183 - [c99]Surajit Chaudhuri, Kenneth Ward Church, Arnd Christian König, Liying Sui:
Heavy-tailed distributions and multi-keyword queries. SIGIR 2007: 663-670 - [c98]Surajit Chaudhuri, Anish Das Sarma, Venkatesh Ganti, Raghav Kaushik:
Leveraging aggregate constraints for deduplication. SIGMOD Conference 2007: 437-448 - [c97]Nicolas Bruno, Surajit Chaudhuri:
Online autoadmin: (physical design tuning). SIGMOD Conference 2007: 1067-1069 - [c96]Surajit Chaudhuri, Vivek R. Narasayya:
Self-Tuning Database Systems: A Decade of Progress. VLDB 2007: 3-14 - [c95]Surajit Chaudhuri, Bee-Chung Chen, Venkatesh Ganti, Raghav Kaushik:
Example-driven design of efficient record matching queries. VLDB 2007: 327-338 - [c94]Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy, Abhijit Pol:
Stop-and-Restart Style Execution for Long Running Decision Support Queries. VLDB 2007: 735-745 - [c93]Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala:
Bridging the Application and DBMS Profiling Divide for Database Application Developers. VLDB 2007: 1252-1262 - [i5]Jim Gray, Surajit Chaudhuri, Adam Bosworth, Andrew Layman, Don Reichart, Murali Venkatrao, Frank Pellow, Hamid Pirahesh:
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals. CoRR abs/cs/0701155 (2007) - 2006
- [j30]Surajit Chaudhuri, Venkatesh Ganti, Raghav Kaushik:
Data Debugger: An Operator-Centric Approach for Data Quality Solutions. IEEE Data Eng. Bull. 29(2): 60-66 (2006) - [j29]Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek R. Narasayya:
AutoAdmin: Self-Tuning Database SystemsTechnology. IEEE Data Eng. Bull. 29(3): 7-15 (2006) - [j28]Nicolas Bruno, Surajit Chaudhuri, Dilys Thomas:
Generating Queries with Cardinality Constraints for DBMS Testing. IEEE Trans. Knowl. Data Eng. 18(12): 1721-1725 (2006) - [j27]Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, Gerhard Weikum:
Probabilistic information retrieval approach for ranking of database query results. ACM Trans. Database Syst. 31(3): 1134-1168 (2006) - [c92]Nicolas Bruno, Surajit Chaudhuri:
Physical Design Refinement: The "Merge-Reduce" Approach. EDBT 2006: 386-404 - [c91]Surajit Chaudhuri, Venkatesh Ganti, Raghav Kaushik:
A Primitive Operator for Similarity Joins in Data Cleaning. ICDE 2006: 5 - [c90]Surajit Chaudhuri, Nilesh N. Dalvi, Raghav Kaushik:
Robust Cardinality and Cost Estimation for Skyline Operator. ICDE 2006: 64 - [c89]Surajit Chaudhuri, Gerhard Weikum:
Foundations of Automated Database Tuning. ICDE 2006: 104 - [c88]Nicolas Bruno, Surajit Chaudhuri:
To Tune or not to Tune? A Lightweight Physical Design Alerter. VLDB 2006: 499-510 - [c87]Surajit Chaudhuri, Gerhard Weikum:
Foundations of Automated Database Tuning. VLDB 2006: 1265 - [e3]Surajit Chaudhuri, Vagelis Hristidis, Neoklis Polyzotis:
Proceedings of the ACM SIGMOD International Conference on Management of Data, Chicago, Illinois, USA, June 27-29, 2006. ACM 2006, ISBN 1-59593-256-9 [contents] - 2005
- [j26]Surajit Chaudhuri, Zhiyuan Chen, Kyuseok Shim, Yuqing Wu:
Storing XML (with XSD) in SQL Databases: Interplay of Logical and Physical Designs. IEEE Trans. Knowl. Data Eng. 17(12): 1595-1609 (2005) - [c86]Surajit Chaudhuri, Raghu Ramakrishnan, Gerhard Weikum:
Integrating DB and IR Technologies: What is the Sound of One Hand Clapping? CIDR 2005: 1-12 - [c85]Surajit Chaudhuri, Venkatesh Ganti, Rajeev Motwani:
Robust Identification of Fuzzy Duplicates. ICDE 2005: 865-876 - [c84]Brian Babcock, Surajit Chaudhuri:
Towards a Robust Query Optimizer: A Principled and Practical Approach. SIGMOD Conference 2005: 119-130 - [c83]Nicolas Bruno, Surajit Chaudhuri:
Automatic Physical Database Tuning: A Relaxation-based Approach. SIGMOD Conference 2005: 227-238 - [c82]Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy:
When Can We Trust Progress Estimators for SQL Queries? SIGMOD Conference 2005: 575-586 - [c81]Surajit Chaudhuri, Kris Ganjam, Venkatesh Ganti, Rahul Kapoor, Vivek R. Narasayya, Theo Vassilakis:
Data cleaning in microsoft SQL server 2005. SIGMOD Conference 2005: 918-920 - [c80]Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollár, Arunprasad P. Marathe, Vivek R. Narasayya, Manoj Syamala:
Database tuning advisor for microsoft SQL server 2005: demo. SIGMOD Conference 2005: 930-932 - [c79]Surajit Chaudhuri, Gerhard Weikum:
Foundations of automated database tuning. SIGMOD Conference 2005: 964-965 - [c78]Nicolas Bruno, Surajit Chaudhuri:
Flexible Database Generators. VLDB 2005: 1097-1107 - 2004
- [j25]Surajit Chaudhuri, Umeshwar Dayal, Venkatesh Ganti:
Data management technology for decision support systems. Adv. Comput. 62: 293-326 (2004) - [j24]Surajit Chaudhuri, Luis Gravano, Amélie Marian:
Optimizing Top-k Selection Queries over Multimedia Repositories. IEEE Trans. Knowl. Data Eng. 16(8): 992-1009 (2004) - [j23]Surajit Chaudhuri, Mayur Datar, Vivek R. Narasayya:
Index Selection for Databases: A Hardness Study and a Principled Heuristic Solution. IEEE Trans. Knowl. Data Eng. 16(11): 1313-1323 (2004) - [j22]Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sarawagi:
Extracting predicates from mining models for efficient query evaluation. ACM Trans. Database Syst. 29(3): 508-544 (2004) - [c77]Surajit Chaudhuri, Venkatesh Ganti, Luis Gravano:
Selectivity Estimation for String Predicates: Overcoming the Underestimation Problem. ICDE 2004: 227-238 - [c76]Surajit Chaudhuri, Arnd Christian König, Vivek R. Narasayya:
SQLCM: A Continuous Monitoring Framework for Relational Database Engines. ICDE 2004: 473-484 - [c75]Surajit Chaudhuri, Zhiyuan Chen, Kyuseok Shim, Yuqing Wu:
Storing XML (with XSD) in SQL Databases: Interplay of Logical and Physical Designs. ICDE 2004: 842 - [c74]Surajit Chaudhuri, Gautam Das, Utkarsh Srivastava:
Effective Use of Block-Level Sampling in Statistics Estimation. SIGMOD Conference 2004: 287-298 - [c73]Nicolas Bruno, Surajit Chaudhuri:
Conditional Selectivity for Statistics on Query Expressions. SIGMOD Conference 2004: 311-322 - [c72]Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang:
Automatic Categorization of Query Results. SIGMOD Conference 2004: 755-766 - [c71]Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy:
Estimating Progress of Long Running SQL Queries. SIGMOD Conference 2004: 803-814 - [c70]Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, Gerhard Weikum:
Probabilistic Ranking of Database Query Results. VLDB 2004: 888-899 - [c69]Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollár, Arunprasad P. Marathe, Vivek R. Narasayya, Manoj Syamala:
Database Tuning Advisor for Microsoft SQL Server 2005. VLDB 2004: 1110-1121 - [c68]William O'Connell, Andrew Witkowski, Ramesh Bhashyam, Surajit Chaudhuri:
Where is Business Intelligence taking today's Database Systems? VLDB 2004: 1237-1238 - [c67]Surajit Chaudhuri, Benoît Dageville, Guy M. Lohman:
Self-Managing Technology in Database Management Systems. VLDB 2004: 1243 - 2003
- [c66]Sanjay Agrawal, Surajit Chaudhuri, Gautam Das, Aristides Gionis:
Automated Ranking of Database Query Results. CIDR 2003 - [c65]Nicolas Bruno, Surajit Chaudhuri:
Efficient Creation of Statistics over Query Expressions. ICDE 2003: 201-212 - [c64]Rakesh Agrawal, Surajit Chaudhuri, Abhinandan Das, Vivek R. Narasayya:
Automating Layout of Relational Databases. ICDE 2003: 607-618 - [c63]Surajit Chaudhuri, Kyuseok Shim:
Storage and Retrieval of XML Data using Relational Databases. ICDE 2003: 802 - [c62]Surajit Chaudhuri, Kris Ganjam, Venkatesh Ganti, Rajeev Motwani:
Robust and Efficient Fuzzy Match for Online Data Cleaning. SIGMOD Conference 2003: 313-324 - [c61]Surajit Chaudhuri, Prasanna Ganesan, Sunita Sarawagi:
Factorizing Complex Predicates in Queries to Exploit Indexes. SIGMOD Conference 2003: 361-372 - [c60]Brian Babcock, Surajit Chaudhuri, Gautam Das:
Dynamic Sample Selection for Approximate Query Processing. SIGMOD Conference 2003: 539-550 - [c59]Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naughton:
On Relational Support for XML Publishing: Beyond Sorting and Tagging. SIGMOD Conference 2003: 611-622 - [c58]Surajit Chaudhuri, Prasanna Ganesan, Vivek R. Narasayya:
Primitives for Workload Summarization and Implications for SQL. VLDB 2003: 730-741 - [c57]Martin L. Kersten, Gerhard Weikum, Michael J. Franklin, Daniel A. Keim, Alejandro P. Buchmann, Surajit Chaudhuri:
A Database Striptease or How to Manage Your Personal Databases. VLDB 2003: 1043-1044 - 2002
- [j21]Cyrus Shahabi, Shahram Ghandeharizadeh, Surajit Chaudhuri:
On Scheduling Atomic and Composite Continuous Media Objects. IEEE Trans. Knowl. Data Eng. 14(2): 447-455 (2002) - [j20]Nicolas Bruno, Surajit Chaudhuri, Luis Gravano:
Top-k selection queries over relational databases: Mapping strategies and performance evaluation. ACM Trans. Database Syst. 27(2): 153-187 (2002) - [c56]Sanjay Agrawal, Surajit Chaudhuri, Gautam Das:
DBXplorer: A System for Keyword-Based Search over Relational Databases. ICDE 2002: 5-16 - [c55]Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sarawagi:
Efficient Evaluation of Queries with Mining Predicates. ICDE 2002: 529-540 - [c54]Surajit Chaudhuri:
Self-Tuning Database Systems. IDEAS 2002 - [c53]Nicolas Bruno, Surajit Chaudhuri:
Exploiting statistics on query expressions for optimization. SIGMOD Conference 2002: 263-274 - [c52]Surajit Chaudhuri, Ashish Kumar Gupta, Vivek R. Narasayya:
Compressing SQL workloads. SIGMOD Conference 2002: 488-499 - [c51]Sanjay Agrawal, Surajit Chaudhuri, Gautam Das:
DBXplorer: enabling keyword search over relational databases. SIGMOD Conference 2002: 627 - [c50]Rohit Ananthakrishna, Surajit Chaudhuri, Venkatesh Ganti:
Eliminating Fuzzy Duplicates in Data Warehouses. VLDB 2002: 586-597 - 2001
- [j19]Surajit Chaudhuri, Umeshwar Dayal, Venkatesh Ganti:
Database Technology for Decision Support Systems. Computer 34(12): 48-55 (2001) - [j18]Surajit Chaudhuri, Vivek R. Narasayya:
Automating Statistics Management for Query Optimizers. IEEE Trans. Knowl. Data Eng. 13(1): 7-20 (2001) - [j17]Surajit Chaudhuri, Vivek R. Narasayya:
Correction to 'Automating Statistics Management for Query Optimizers'. IEEE Trans. Knowl. Data Eng. 13(3): 526 (2001) - [c49]Amir Netz, Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt:
Integrating Data Mining with SQL Databases: OLE DB for Data Mining. ICDE 2001: 379-387 - [c48]Surajit Chaudhuri, Gautam Das, Mayur Datar, Rajeev Motwani, Vivek R. Narasayya:
Overcoming Limitations of Sampling for Aggregation Queries. ICDE 2001: 534-542 - [c47]Nicolas Bruno, Surajit Chaudhuri, Luis Gravano:
STHoles: A Multidimensional Workload-Aware Histogram. SIGMOD Conference 2001: 211-222 - [c46]Surajit Chaudhuri, Gautam Das, Vivek R. Narasayya:
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries. SIGMOD Conference 2001: 295-306 - [c45]Sanjay Agrawal, Surajit Chaudhuri, Vivek R. Narasayya:
Materialized View and Index Selection Tool for Microsoft SQL Server 2000. SIGMOD Conference 2001: 608 - [c44]Surajit Chaudhuri, Kyuseok Shim:
Storage and Retrieval of XML Data Using Relational Databases. VLDB 2001 - 2000
- [j16]Surajit Chaudhuri:
Guest Editorial. Data Min. Knowl. Discov. 4(2/3): 87-88 (2000) - [j15]Surajit Chaudhuri, David Madigan, Usama M. Fayyad:
KDD-99: The Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. SIGKDD Explor. 1(2): 49-51 (2000) - [c43]Surajit Chaudhuri, Vivek R. Narasayya:
Automating Statistics Management for Query Optimizers. ICDE 2000: 339-348 - [c42]Moses Charikar, Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya:
Towards Estimation Error Guarantees for Distinct Values. PODS 2000: 268-279 - [c41]Surajit Chaudhuri, Gerhard Weikum:
Rethinking Database System Architecture: Towards a Self-Tuning RISC-Style Database System. VLDB 2000: 1-10 - [c40]Sanjay Agrawal, Surajit Chaudhuri, Vivek R. Narasayya:
Automated Selection of Materialized Views and Indexes in SQL Databases. VLDB 2000: 496-505 - [c39]Amir Netz, Surajit Chaudhuri, Jeff Bernhardt, Usama M. Fayyad:
Integration of Data Mining with Database Technology. VLDB 2000: 719-722 - [i4]Surajit Chaudhuri:
Review - Of Nests and Trees: A Unified Approach to Processing Queries That Contain Nested Subqueries, Aggregates, and Quantifiers. ACM SIGMOD Digit. Rev. 2 (2000) - [i3]Surajit Chaudhuri:
Review - Physical Database Design for Relational Databases. ACM SIGMOD Digit. Rev. 2 (2000) - [i2]Surajit Chaudhuri:
Review - Querying Multiple Features of Groups in Relational Databases. ACM SIGMOD Digit. Rev. 2 (2000) - [i1]Surajit Chaudhuri:
Review - Integrating Mining with Relational Database Systems: Alternatives and Implications. ACM SIGMOD Digit. Rev. 2 (2000) - no results
1990 – 1999
- 1999
- [j14]Surajit Chaudhuri:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 22(2): 2 (1999) - [j13]Surajit Chaudhuri, Eric Christensen, Goetz Graefe, Vivek R. Narasayya, Michael J. Zwilling:
Self-Tuning Technology in Microsoft SQL Server. IEEE Data Eng. Bull. 22(2): 20-26 (1999) - [j12]Surajit Chaudhuri, Rajeev Motwani:
On Sampling and Relational Operators. IEEE Data Eng. Bull. 22(4): 41-46 (1999) - [j11]Kenneth A. Ross, Surajit Chaudhuri, Gösta Grahne, H. V. Jagadish, Jan Van den Bussche, Moshe Y. Vardi:
Reminiscences on Influential Papers. SIGMOD Rec. 28(4): 39-41 (1999) - [j10]Surajit Chaudhuri, Kyuseok Shim:
Optimization of Queries with User-Defined Predicates. ACM Trans. Database Syst. 24(2): 177-228 (1999) - [c38]Surajit Chaudhuri, Vivek R. Narasayya:
Index Merging. ICDE 1999: 296-303 - [c37]Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt:
Scalable Classification over SQL Databases. ICDE 1999: 470-479 - [c36]Ashraf Aboulnaga, Surajit Chaudhuri:
Self-tuning Histograms: Building Histograms Without Looking at Data. SIGMOD Conference 1999: 181-192 - [c35]Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya:
On Random Sampling over Joins. SIGMOD Conference 1999: 263-274 - [c34]Michael L. Brodie, Surajit Chaudhuri:
Issues in Network Management in the Next Millennium. VLDB 1999: 198 - [c33]Surajit Chaudhuri, Luis Gravano:
Evaluating Top-k Selection Queries. VLDB 1999: 397-410 - [e2]Usama M. Fayyad, Surajit Chaudhuri, David Madigan:
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 15-18, 1999. ACM 1999, ISBN 1-58113-143-7 [contents] - 1998
- [j9]Surajit Chaudhuri:
Data Mining and Database Systems: Where is the Intersection? IEEE Data Eng. Bull. 21(1): 4-8 (1998) - [j8]Surajit Chaudhuri:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 21(2): 3 (1998) - [j7]David B. Lomet, Roger S. Barga, Surajit Chaudhuri, Per-Åke Larson, Vivek R. Narasayya:
The Microsoft Database Research Group. SIGMOD Rec. 27(3): 81-85 (1998) - [c32]Surajit Chaudhuri, Hector Garcia-Molina, Henry F. Korth, Guy M. Lohman, David B. Lomet, David Maier:
Future Directions in Database Research (Panel). ICDE 1998: 456 - [c31]Goetz Graefe, Usama M. Fayyad, Surajit Chaudhuri:
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases. KDD 1998: 204-208 - [c30]Surajit Chaudhuri:
An Overview of Query Optimization in Relational Systems. PODS 1998: 34-43 - [c29]Surajit Chaudhuri, Vivek R. Narasayya:
AutoAdmin 'What-if' Index Analysis Utility. SIGMOD Conference 1998: 367-378 - [c28]Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya:
Random Sampling for Histogram Construction: How much is enough? SIGMOD Conference 1998: 436-447 - [c27]Surajit Chaudhuri, Vivek R. Narasayya:
Microsoft Index Tuning Wizard for SQL Server 7.0. SIGMOD Conference 1998: 553-554 - 1997
- [j6]Jim Gray, Surajit Chaudhuri, Adam Bosworth, Andrew Layman, Don Reichart, Murali Venkatrao, Frank Pellow, Hamid Pirahesh:
Data Cube: A Relational Aggregation Operator Generalizing Group-by, Cross-Tab, and Sub Totals. Data Min. Knowl. Discov. 1(1): 29-53 (1997) - [j5]Surajit Chaudhuri, Moshe Y. Vardi:
On the Equivalence of Recursive and Nonrecursive Datalog Programs. J. Comput. Syst. Sci. 54(1): 61-78 (1997) - [j4]Surajit Chaudhuri, Phokion G. Kolaitis:
Can Datalog Be Approximated? J. Comput. Syst. Sci. 55(2): 355-369 (1997) - [j3]Surajit Chaudhuri, Umeshwar Dayal:
An Overview of Data Warehousing and OLAP Technology. SIGMOD Rec. 26(1): 65-74 (1997) - [c26]Surajit Chaudhuri:
Issues in Decision Support over SQL Databases. DMKD 1997 - [c25]Surajit Chaudhuri, Umeshwar Dayal:
Data Warehousing and OLAP for Decision Support. DOOD 1997: 33-34 - [c24]Surajit Chaudhuri, Rakesh Agrawal, Klaus R. Dittrich, Andreas Reuter, Abraham Silberschatz, Gerhard Weikum:
New and Forgotten Dreams in Database Research (Panel). ICDE 1997: 573 - [c23]Surajit Chaudhuri, Umeshwar Dayal:
Data Warehousing and OLAP for Decision Support (Tutorial). SIGMOD Conference 1997: 507-508 - [c22]Surajit Chaudhuri:
Query Optimization at the Crossroads (Panel). SIGMOD Conference 1997: 509 - [c21]Surajit Chaudhuri, Vivek R. Narasayya:
An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server. VLDB 1997: 146-155 - 1996
- [j2]Surajit Chaudhuri, Luis Gravano:
Optimizing Queries over Multimedia Repositories. IEEE Data Eng. Bull. 19(4): 45-52 (1996) - [c20]Surajit Chaudhuri, Kyuseok Shim:
Optimizing Queries with Aggregate Views. EDBT 1996: 167-182 - [c19]Surajit Chaudhuri, Ashok K. Chandra, Umeshwar Dayal, Jim Gray, Michael Stonebraker, Gio Wiederhold, Moshe Y. Vardi:
Database Research: Lead, Follow, or Get Out of the Way? - Panel Abstract. ICDE 1996: 190 - [c18]Surajit Chaudhuri, Luis Gravano:
Optimizing Queries over Multimedia Repositories. SIGMOD Conference 1996: 91-102 - [c17]Surajit Chaudhuri, Kyuseok Shim:
Optimization of Queries with User-defined Predicates. VLDB 1996: 87-98 - 1995
- [j1]Surajit Chaudhuri, Kyuseok Shim:
An Overview of Cost-based Optimization of Queries with Aggregates. IEEE Data Eng. Bull. 18(3): 3-9 (1995) - [c16]Surajit Chaudhuri, Ravi Krishnamurthy, Spyros Potamianos, Kyuseok Shim:
Optimizing Queries with Materialized Views. ICDE 1995: 190-200 - [c15]Surajit Chaudhuri, Umeshwar Dayal, Tak W. Yan:
Join Queries with External Text Sources: Execution and Optimization Techniques. SIGMOD Conference 1995: 410-422 - [c14]Surajit Chaudhuri, Shahram Ghandeharizadeh, Cyrus Shahabi:
Retrieval of Composite Multimedia Objects. VLDB 1995: 287-298 - [e1]Surajit Chaudhuri, Anand Deshpande, Ravi Krishnamurthy:
Advances in Data Management, Proceedings of the 7th International Conference on Management of Data, COMAD 1995, December 28-30, 1995, Pune, India. Tata McGraw-Hill 1995, ISBN 0-07-462085-1 [contents] - 1994
- [c13]Surajit Chaudhuri, Phokion G. Kolaitis:
Can Datalog be Approximated? PODS 1994: 86-96 - [c12]Surajit Chaudhuri, Moshe Y. Vardi:
On the Complexity of Equivalence between Recursive and Nonrecursive Datalog Programs. PODS 1994: 107-116 - [c11]Surajit Chaudhuri, Kyuseok Shim:
Including Group-By in Query Optimization. VLDB 1994: 354-366 - 1993
- [c10]Surajit Chaudhuri, Moshe Y. Vardi:
Optimization of Real Conjunctive Queries. PODS 1993: 59-70 - [c9]Surajit Chaudhuri:
Finding Nonrecursive Envelopes for Datalog Predicates. PODS 1993: 135-146 - [c8]Surajit Chaudhuri, Kyuseok Shim:
Query Optimization in the Presence of Foreign Functions. VLDB 1993: 529-542 - 1992
- [c7]Surajit Chaudhuri:
Finding Nonrecursive Envelopes for Datalog Predicates. Workshop on Deductive Databases, JICSLP 1992: 96-105 - [c6]Surajit Chaudhuri, Moshe Y. Vardi:
On the Equivalence of Recursive and Nonrecursive Datalog Programs. PODS 1992: 55-66 - 1991
- [c5]Surajit Chaudhuri:
Detecting Redundant Tuples During Query Evaluation. PODS 1991: 115-126 - 1990
- [c4]Surajit Chaudhuri:
Database Types: A Plea for Simplicity (A Naive Semantics of Subtyping). DS-4 1990: 165-181 - [c3]Surajit Chaudhuri:
Generalization and a Framework for Query Modification. ICDE 1990: 138-145 - no results
1980 – 1989
- 1988
- [c2]Surajit Chaudhuri:
Temporal Relationships in Databases. VLDB 1988: 160-170 - 1987
- [c1]Gio Wiederhold, Surajit Chaudhuri, Waqar Hasan, Michael G. Walker, Marianne Winslett:
Architectural Concepts for Large Knowledge Bases. GWAI 1987: 366-385 - no results
Coauthor Index
[j102] [j101] [j98] [j93] [j91] [j90] [j88] [j87] [c156] [c155] [c154] [j84] [j83] [j81] [j80] [j79] [i14] [j77] [c151] [i11] [j74] [j73] [c149] [c148] [j69] [j68] [j67] [c144] [r7] [c142] [c139] [j61] [c135] [j59] [j57] [c132] [c131] [c130] [j54] [j53] [i7] [i6] [j52] [j51] [j50] [j49] [j48] [c121] [c119] [j40] [c111] [r4] [j36] [c104] [j33] [c96] [c93] [j29] [c81] [c80] [j23] [j22] [c76] [c71] [c69] [c64] [c58] [c55] [c52] [j18] [j17] [c48] [c46] [c45] [c43] [c42] [c40] [j13] [c38] [c35] [j7] [c29] [c28] [c27] [c21]
no results
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