Detail publikace

Distance-Based Methods for Association Rules Mining

BARTÍK, V. ZENDULKA, J.

Originální název

Distance-Based Methods for Association Rules Mining

Typ

kapitola v knize

Jazyk

angličtina

Originální 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

Autoři

BARTÍK, V.; ZENDULKA, J.

Rok RIV

2008

Vydáno

1. 8. 2008

Nakladatel

IGI Global

Místo

Hershey, New York

ISBN

978-1-60566-010-3

Kniha

Encyclopedia of Data Warehousing and Mining. Volume 2.

Číslo edice

Second Edition

Strany od

689

Strany do

694

Strany počet

6

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"
}