Learning to match and cluster large high-dimensional data sets for data integration
- 23 July 2002
- proceedings article
- Published by Association for Computing Machinery (ACM)
- p. 475-480
- https://doi.org/10.1145/775047.775116
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Efficient clustering of high-dimensional data sets with application to reference matchingPublished by Association for Computing Machinery (ACM) ,2000
- Data integration using similarity joins and a word-based information representation languageACM Transactions on Information Systems, 2000
- AJAXPublished by Association for Computing Machinery (ACM) ,2000
- WHIRL: A word-based information representation languageArtificial Intelligence, 2000
- Automating the Construction of Internet Portals with Machine LearningInformation Retrieval Journal, 2000
- Digital libraries and autonomous citation indexingComputer, 1999
- Reasoning about Textual Similarity in a Web-Based Information Access SystemAutonomous Agents and Multi-Agent Systems, 1999
- The merge/purge problem for large databasesPublished by Association for Computing Machinery (ACM) ,1995
- A Theory for Record LinkageJournal of the American Statistical Association, 1969
- Automatic Linkage of Vital RecordsScience, 1959