Author:
Moreno María N.,Segrera Saddys,López Vivian F.,Muñoz María Dolores,Sánchez Ángel Luis
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference44 articles.
1. R. Agrawal and R. Srikant, Fast algorithms for mining association rules in large databases, in: Proceedings of 20th International Conference on Very Large Databases, Santiago de Chile, 1994, pp.487–489.
2. Database mining. A performance perspective;Agrawal;IEEE Trans. Knowl. Data Eng.,1993
3. R. Agrawal, T. Imielinski and A. Swami, Mining associations between sets of items in large databases, in: Proceedings of the ACM SIGMOD International Conference on Management of Data, Washinton, D.C., 1993b, pp. 207–216.
4. Recommender systems for evaluating computer messages;Avery;Commun. ACM,1997
5. Marketing—An Introductory Text;Baker,1996
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