Fuzzy association rules: general model and applications
作者： Miguel Delgado , Nicolás Marín , Daniel Sánchez , M-A Vila
DOI: 10.1109/TFUZZ.2003.809896
关键词:
摘要: The theory of fuzzy sets has been recognized as a suitable tool to model several kinds patterns that can hold in data. In this paper, we are concerned with the development general discover association rules among items (crisp) set transactions. This be particularized ways; each particular instance corresponds certain kind pattern and/or repository We describe some applications scheme, paying special attention discovery relational databases.
acm.org
sci-hub.se 参考文章(60)
María José Martín Bautista, Modelos de computación flexible para la recuperación de información Universidad de Granada. ,(2000)
Heikki Mannila, A. Inkeri Verkamo, Hannu Toivonen, Efficient algorithms for discovering association rules knowledge discovery and data mining. pp. 181- 192 ,(1994)
Didier Dubois, Henri Prade, Fuzzy rules in knowledge-based systems Springer, Boston, MA. pp. 45- 68 ,(1992) , 10.1007/978-1-4615-3640-6_3
Etienne Kerre, Martine De Cock, Chris Cornelis, Fuzzy Association Rules: a Two-Sided Approach Proceedings of FIP2003 (International Conference on Fuzzy Information processing: Theories and Applications). pp. 385- 390 ,(2003)
Daniel Sánchez Fernández, Adquisición de relaciones entre atributos en bases de datos relacionales Adquisición de relaciones entre atributos en bases de datos relacionales. ,(2000)
Edward H. Shortliffe, Bruce G. Buchanan, A model of inexact reasoning in medicine Bellman Prize in Mathematical Biosciences. ,vol. 23, pp. 259- 275 ,(1990) , 10.1016/0025-5564(75)90047-4
Richard J. Roiger, Data Mining: A Tutorial Based Primer ,(2002)
Maciej Wygralak, Vaguely Defined Objects: Representations, Fuzzy Sets and Nonclassical Cardinality theory ,(2013)
Janus Kacprzyk, Fuzzy Logic with Linguistic Quantifiers: A Tool for Better Modeling of Human Evidence Aggregation Processes? Fuzzy Sets in Psychology. ,vol. 56, pp. 233- 263 ,(1988) , 10.1016/S0166-4115(08)60487-2
Ramakrishnan Srikant, Rakesh Agrawal, Fast algorithms for mining association rules very large data bases. pp. 580- 592 ,(1998)