default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSurajit Chaudhuri
Person information
- affiliation: Microsoft
- award (2011): SIGMOD Edgar F. Codd Innovations Award
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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) - [i21]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) - 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)
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]