Detail výsledku

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.
Typ
kapitola, resp. kapitoly v odborné knize
Jazyk
anglicky
Autoři
Bartík Vladimír, Ing., Ph.D., UIFS (FIT)
Zendulka Jaroslav, doc. Ing., CSc., UIFS (FIT)
Abstrakt

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.

Klíčová slova

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

Rok
2008
Strany
689–694
Kniha
Encyclopedia of Data Warehousing and Mining. Volume 2.
Vydání
Second Edition
ISBN
978-1-60566-010-3
Vydavatel
IGI Global
Místo
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"
}
Projekty
Výzkum informačních technologií z hlediska bezpečnosti, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, zahájení: 2007-01-01, ukončení: 2013-12-31, řešení
Výzkumné skupiny
Výzkumná skupina informačních a databázových systémů (VZ IS)
Pracoviště
Ústav informačních systémů (UIFS)
Nahoru