Induction of Association Rules: Apriori Implementation
作者： Christian Borgelt , Rudolf Kruse
DOI: 10.1007/978-3-642-57489-4_59
关键词:
摘要: We describe an implementation of the well-known apriori algorithm for the induction of association rules [Agrawal et al. (1993), Agrawal et al. (1996)] that is based on the concept of a …
springer.com
borgelt.net
researchgate.net 参考文章(7)
Heikki Mannila, A. Inkeri Verkamo, Ramakrishnan Srikant, Hannu Toivonen, Rakesh Agrawal, Fast discovery of association rules knowledge discovery and data mining. pp. 307- 328 ,(1996)
Zijian Zheng, Ron Kohavi, Llew Mason, Real world performance of association rule algorithms knowledge discovery and data mining. pp. 401- 406 ,(2001) , 10.1145/502512.502572
Jiawei Han, Jian Pei, Yiwen Yin, Mining frequent patterns without candidate generation international conference on management of data. ,vol. 29, pp. 1- 12 ,(2000) , 10.1145/335191.335372
C. L. Blake, UCI Repository of machine learning databases www.ics.uci.edu/〜mlearn/MLRepository.html. ,(1998)
Ron Kohavi, Carla E. Brodley, Brian Frasca, Llew Mason, Zijian Zheng, KDD-Cup 2000 organizers' report ACM SIGKDD Explorations Newsletter. ,vol. 2, pp. 86- 93 ,(2000) , 10.1145/380995.381033
Rakesh Agrawal, Tomasz Imieliński, Arun Swami, Mining association rules between sets of items in large databases Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD '93. ,vol. 22, pp. 207- 216 ,(1993) , 10.1145/170035.170072
C. Merz, UCI Repository of Machine Learning Databases University of California, Department of Information. ,(1996)