Using text mining to infer semantic attributes for retail data mining

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2002, Pages 195-202

  Ghani, Rayid ^a   Fano, Andrew E ^a  

^a ACCENTURE   (United States)

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[No Author keywords available]

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EID: 32144432205     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. I. Verkamo. Fast discovery of association rules. In U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, AAAI Press/The MIT Press, pages 307-328, 1996.
2. C. Borgelt. apriori. http://fuzzy.cs.Uni-Magdeburg.de/~borgelt/.
3. M. Craven, D. DiPasquo, D. Freitag, A. McCallum, T. Mitchell, K. Nigam, and S. Slattery. Learning to construct knowledge bases from the world wide web. Artificial Intelligence, 118(1-2):69-114, 2000.
4. A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39(1):1-38, 1977.
5. R. Ghani and A. E. Fano. Building recommender systems using a knowledge base of product semantics. In Proceedings of the Workshop on Recommendation and Personalization in ECommerce at the 2nd International Conference on Adaptive Hypermedia and Adaptive Web based Systems, 2002.
6. R. Ghani, R. Jones, D. Mladenic, K. Nigam, and S. Slattery. Data mining on symbolic knowledge extracted from the web. In Workshop on Text Mining at the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000.
7. T. Jaakkola and D. Haussler. Exploiting generative models in discriminative classifiers. In Advances in NIPS 11, 1999.
8. T. Joachims. Transductive inference for text classification using support vector machines. In Machine Learning: Proceedings of the Sixteenth International Conference, 1999.
9. D. D. Lewis. Naive (Bayes) at forty: The independence assumption in information retrieval. In Machine Learning: ECML-98, Tenth European Conference on Machine Learning, pages 4-15, 1998.
10. A. McCallum and K. Nigam. A comparison of event models for naive Bayes text classification. In Learning for Text Categorization: Papers from the AAAI Workshop, pages 41-48, 1998. Tech. rep. WS-98-05, AAAI Press.
11. U. Y. Nahm and R. J. Mooney. Text mining with inforation extraction. In AAAI 2002 Spring Symposium on Mining Answers from Texts and Knowledge Bases, 2002.
12. K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3): 103-134, 2000. (Pubitemid 30594822)
13. J. Schafer, J. Konstan, and J. Riedl. Electronic commerce recommender applications. Journal of Data Mining and Knowledge Discovery, 5:115-152, 2000.
14. K. Seymore, A. McCallum, and R. Rosenfeld. Learning hidden Markov model structure for information extraction. In Machine Learning for Information Extraction: Papers from the AAAI Workshop, 1999. Tech. rep. WS-99-11, AAAI Press.