Quotation Hahsler, Michael, Hornik, Kurt. 2007. Building on the arules infrastructure for analyzing transaction data with R. In Advances in Data Analysis, Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Hrsg. R. Decker and H.-J. Lenz, 449-456. Berlin: Springer.


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Abstract

The free and extensible statistical computing environment R with its enormous number of extension packages already provides many state-of-the-art techniques for data analysis. Support for association rule mining, a popular exploratory method which can be used, among other purposes, for uncovering cross-selling opportunities in market baskets, has become available recently with the R extension package arules. After a brief introduction to transaction data and association rules, we present the formal framework implemented in arules and demonstrate how clustering and association rule mining can be applied together using a market basket data set from a typical retailer. This paper shows that implementing a basic infrastructure with formal classes in R provides an extensible basis which can very e±ciently be employed for developing new applications (such as clustering transactions) in addition to association rule mining.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Building on the arules infrastructure for analyzing transaction data with R
Title of whole publication Advances in Data Analysis, Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V.
Editor R. Decker and H.-J. Lenz
Page from 449
Page to 456
Location Berlin
Publisher Springer
Year 2007
URL http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.73.575&rep=rep1&type=pdf

Associations

Projects
A computational environment for mining association rules and frequent item sets in R
People
Hahsler, Michael (Former researcher)
Hornik, Kurt (Details)
Organization
Institute for Data, Process and Knowledge Management (AE Mendling) (Details)
Institute for Statistics and Mathematics IN (Details)
Research Institute for Computational Methods FI (Details)
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