09. 關聯規則

Agrawal, R. & R. Srikan, “Fast Algorithms for Mining Association Rules”, Proc VLDB, 1994 (http://www.cs.tau.ac.il/~fiat/dmsem03/Fast%20Algorithms%20for%20Mining%20Association% 20Rules.ppt)

https://www.slideshare.net/ChiHua0826/03-93963094

Michael Hahsler, http://michael.hahsler.net/research/association_rules/measures.html

Agrawal, R., T. Imielinski, and A. Swami. Mining associations between sets of items in large databases. In Proc. of the ACM SIGMOD Int'l Conference on Management of Data, pages 207-216, Washington D.C., May 1993

Brin, S., R. Motwani, J. D. Ullman, and S. Tsur. Dynamic itemset counting and implication rules for market basket data

Piatetsky-Shapiro, G., Discovery, analysis, and presentation of strong rules. Knowledge Discovery in Databases, 1991: p. 229-248.

Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, and Shalom Turk. Dynamic itemset counting and implication rules for market basket data. In SIGMOD 1997, Proceedings ACM SIGMOD International Conference on Management of Data, pages 255-264, Tucson, Arizona, USA, May 1997

簡禎富、許嘉裕（2017），資料挖礦與大數據分析，第9章，初版五刷，前程文化。

https://medium.com/edureka/apriori-algorithm-d7cc648d4f1e

https://www.jianshu.com/p/dcee9037a88f

https://www.cs.waikato.ac.nz/ml/weka/downloading.html

Tan, Steinbach, Kumar. Introduction to Data Mining. Pearson New International Edition. Harlow: Pearson Education Ltd., 2014. (pp. 327-414).

用Weka對資料集進行關聯規則分析