A Data Mining Approach to New Library Book Recommendations-Reference-Cited by-同舟云学术

A Data Mining Approach to New Library Book Recommendations

Published:2002 Issue: Volume: Page:229-240
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Hwang San-Yih,Lim Ee-Peng

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-36227-4_23

Reference15 articles.

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3. J. S. Breese, D. Heckerman and C. Kadie, “Empirical Analysis of Predictive Algorithms for Collaborative Filtering,” Tech. Report, MSR-TR-98-12, Microsoft Research, Oct. 1998.

4. J. Han and Y. Fu, “Discovery of multiple-level association rules from large databases,” Proc. of the 21st VLDB Conf., pp. 420–431, 1995.

5. S. Jaroszewicz and D. A. Simovici, “Pruning redundant association rules using maximum entropy principle,” Proc. of 6’th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2002), Taipei, Taiwan, 2002.

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