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Extending naïve Bayes classifiers using long itemsets
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Source International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents
San Diego, California, United States
Pages: 165 - 174  
Year of Publication: 1999
ISBN:1-58113-143-7
Authors
Dimitris Meretakis  Computer Science Department, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
Beat Wüthrich  Computer Science Department, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
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): 9,   Downloads (12 Months): 68,   Citation Count: 22
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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.

 
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CITED BY  22

Collaborative Colleagues:
Dimitris Meretakis: colleagues
Beat Wüthrich: colleagues