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IntelliClean: a knowledge-based intelligent data cleaner
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Source International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents
Boston, Massachusetts, United States
Pages: 290 - 294  
Year of Publication: 2000
ISBN:1-58113-233-6
Authors
Mong Li Lee  School of Computing, National University of Singapore, 3 Science Drive 2, Singapore 117543
Tok Wang Ling  School of Computing, National University of Singapore, 3 Science Drive 2, Singapore 117543
Wai Lup Low  School of Computing, National University of Singapore, 3 Science Drive 2, Singapore 117543
Sponsors
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 68,   Citation Count: 13
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
C. Forgy. Rete: A fast algorithm for the many patterns/many objects match problem. Articial Intelligence, 19(1):17-37, 1982.
 
2
E. J. Friedman-Hill. Jess, the java expert system shell, 1999. Available at URL http://herzberg.ca.sandia.gov/jess/.
 
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A. Maydanchik. Challenges of efficient data cleansing. DM Review, September 1999. Available at URL http://www.dmreview.com/editorial/dmreview/ print action.cfm?EdID=1403.
 
8
A. E. Monge and C. P. Elkan. An efficient domain-independent algorithm for detecting approximately duplicate database records. In Proceedings of the ACM-SIGMOD Workshop on Research Issues on Knowledge Discovery and Data Mining. Tucson, AZ, 1997.
 
9
M. J. Waller. A comparison of two incremental merge/purge strategies. Master Thesis, University of Illinois, 1998.

CITED BY  14

Collaborative Colleagues:
Mong Li Lee: colleagues
Tok Wang Ling: colleagues
Wai Lup Low: colleagues