The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
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Kurt Hornik | Michael Hahsler | Christian Buchta | Sudheer Chelluboina | Michael Hahsler | K. Hornik | C. Buchta | Sudheer Chelluboina
[1] Dario Bruzzese,et al. Visual Mining of Association Rules , 2008, Visual Data Mining.
[2] Michael Hahsler,et al. A Model-Based Frequency Constraint for Mining Associations from Transaction Data , 2006, Data Mining and Knowledge Discovery.
[3] Kurt Hornik,et al. Selective association rule generation , 2008, Comput. Stat..
[4] Osmar R. Zaïane,et al. A study on interestingness measures for associative classifiers , 2010, SAC '10.
[5] Kurt Hornik,et al. New probabilistic interest measures for association rules , 2007, Intell. Data Anal..
[6] Kurt Hornik,et al. Building on the Arules Infrastructure for Analyzing Transaction Data with R , 2006, GfKl.
[7] Mohammed J. Zaki,et al. SPADE: An Efficient Algorithm for Mining Frequent Sequences , 2004, Machine Learning.
[8] Christian Borgelt,et al. EFFICIENT IMPLEMENTATIONS OF APRIORI AND ECLAT , 2003 .
[9] Kurt Hornik,et al. Introduction to arules – A computational environment for mining association rules and frequent item sets , 2009 .
[10] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[11] Wynne Hsu,et al. Integrating Classification and Association Rule Mining , 1998, KDD.