Result Details

Distance-Based Methods for Association Rules Mining

BARTÍK, V.; ZENDULKA, J. Distance-Based Methods for Association Rules Mining. In Encyclopedia of Data Warehousing and Mining. Volume 2. Hershey, New York: IGI Global, 2008. p. 689-694. ISBN: 978-1-60566-010-3.
Type
chapter in a book
Language
English
Authors
Bartík Vladimír, Ing., Ph.D., DIFS (FIT)
Zendulka Jaroslav, doc. Ing., CSc., DIFS (FIT)
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.

Keywords

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

Published
2008
Pages
689–694
Book
Encyclopedia of Data Warehousing and Mining. Volume 2.
Edition
Second Edition
ISBN
978-1-60566-010-3
Publisher
IGI Global
Place
Hershey, New York
BibTeX 
@inbook{BUT55181,
  author="Vladimír {Bartík} and Jaroslav {Zendulka}",
  title="Distance-Based Methods for Association Rules Mining",
  booktitle="Encyclopedia of Data Warehousing and Mining. Volume 2.",
  year="2008",
  publisher="IGI Global",
  address="Hershey, New York",
  edition="Second Edition",
  pages="689--694",
  isbn="978-1-60566-010-3"
}
Projects
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Information and Database Systems Research Group (RG IS)
Departments
Department of Information Systems (DIFS)
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