Publication Details

Distance-Based Methods for Association Rules Mining

BARTÍK Vladimír and ZENDULKA Jaroslav. Distance-Based Methods for Association Rules Mining. Encyclopedia of Data Warehousing and Mining. Volume 2.. Hershey, New York: IGI Global, 2008, pp. 689-694. ISBN 978-1-60566-010-3.
Czech title
Metody dolování asociačních pravidel založené na vzdálenosti
Type
book chapter
Language
english
Authors
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT)
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT)
Keywords

association rule, distance-based method, categorical attribute, discretization, quantitative attibute, static and dynamic discretization

Abstract

This chapter deals with the problem of association rule mining in relational tables. Discretization of quantitative attributes is a crucial step of this process. Existing discretization methods are summarized in the first part of the chapter. Then, a method called Average Distance Based Method, which was developed by the authors, is described in detail. The basic idea of the new method is to separate processing of categorical and quantitative attributes. A new measure called average distance is used during the discretization process.

Published
2008
Pages
689-694
Book
Encyclopedia of Data Warehousing and Mining. Volume 2.
ISBN
978-1-60566-010-3
Publisher
IGI Global
Place
Hershey, New York, US
BibTeX 
@INBOOK{FITPUB8774,
   author = "Vladim\'{i}r Bart\'{i}k and Jaroslav Zendulka",
   title = "Distance-Based Methods for Association Rules Mining",
   pages = "689--694",
   booktitle = "Encyclopedia of Data Warehousing and Mining. Volume 2.",
   year = 2008,
   location = "Hershey, New York, US",
   publisher = "IGI Global",
   edition = "Second Edition",
   ISBN = "978-1-60566-010-3",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/8774"
}
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