Book chapter

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.
Publication language:english
Original title:Distance-Based Methods for Association Rules Mining
Title (cs):Metody dolování asociačních pravidel založené na vzdálenosti
Pages:689-694
Book:Encyclopedia of Data Warehousing and Mining. Volume 2.
Place:Hershey, New York, US
Year:2008
ISBN:978-1-60566-010-3
Publisher:IGI Global
Keywords
association rule, distance-based method, categorical attribute, discretization, quantitative attibute, static and dynamic discretization
Annotation
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.
BibTeX:
@INBOOK{
   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 = {http://www.fit.vutbr.cz/research/view_pub.php?id=8774}
}

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