Surajit Chaudhuri

Artificial Intelligence · 1996–2022

A researcher in the Science corpus: 16 papers; trusts 23 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #6,922 of 35,345 by trust here, #11,192 by citations
• Computer Networks and Communications — 24 citations into it; #1,091 of 9,886 by trust here, #1,209 by citations
• Information Systems — 24 citations into it; #514 of 8,771 by trust here, #1,045 by citations
• Management Science and Operations Research — 14 citations into it; #925 of 11,946 by trust here, #1,025 by citations
• Signal Processing — 12 citations into it; #1,100 of 7,572 by trust here, #1,299 by citations
• Algorithms & Complexity — 6 citations into it
• Hardware and Architecture — 5 citations into it
• Information Retrieval & Search — 5 citations into it; #359 of 1,022 by trust here, #727 by citations

Whom Surajit Chaudhuri trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sanjay Agrawal
2. Muthu Dayalan
3. Sunita Sarawagi
4. Jayant Madhavan
5. Jiawei Han
6. Luis Gravano
7. Evaggelia Pitoura
8. Philip A. Bernstein
9. Venkatesh Ganti
10. Erhard Rahm

Who trusts Surajit Chaudhuri overall

1. Anshumali Shrivastava
2. Arvind Arasu
3. Ping Li
4. Jiaheng Lu
5. Parag Agrawal
6. Venkatesh Ganti
7. Peter Christen
8. Raghav Kaushik
9. Yuji Roh
10. Xin Luna Dong

Papers from Surajit Chaudhuri's perspective

Ordered by how strongly the researchers Surajit Chaudhuri trusts endorse each paper. Same corpus, a different order for every researcher.

1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
2. WebTables: exploring the power of tables on the web
3. Foundations of Statistical Natural Language Processing
4. Reconciling schemas of disparate data sources: a machine-learning approach (ACM SIGMOD Conference)
5. Eliminating Fuzzy Duplicates in Data Warehouses (Very Large Data Bases Conference)
6. Robust and efficient fuzzy match for online data cleaning (ACM SIGMOD Conference)
7. Human behavior and the principle of least effort
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. On the resemblance and containment of documents
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (2022) — 36 citations
• Robust and efficient fuzzy match for online data cleaning (2003) — 568 citations
• Eliminating Fuzzy Duplicates in Data Warehouses (2002) — 461 citations
• InfoGather: entity augmentation and attribute discovery by holistic matching with web tables (2012) — 277 citations
• A Primitive Operator for Similarity Joins in Data Cleaning (2006) — 631 citations
• Mining Document Collections to Facilitate Accurate Approximate Entity Matching (2009) — 43 citations
• An overview of business intelligence technology (2011) — 867 citations
• Data services leveraging Bing's data assets (2016) — 26 citations
• The Beckman report on database research (2016) — 51 citations
• Keyword querying and Ranking in Databases (2009) — 47 citations
• Self-Tuning Database Systems: A Decade of Progress (2007) — 376 citations
• Database tuning advisor for microsoft SQL server 2005: demo (2005) — 320 citations
• DBXplorer: a system for keyword-based search over relational databases (2002) — 877 citations
• STHoles: a multidimensional workload-aware histogram (2001) — 380 citations
• Automated Selection of Materialized Views and Indexes in SQL Databases (2000) — 718 citations
• Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals (1996)