Publication detail

Distance-Based Methods for Association Rules Mining

BARTÍK, V. ZENDULKA, J.

Original Title

Distance-Based Methods for Association Rules Mining

Type

book chapter

Language

English

Original 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

Authors

BARTÍK, V.; ZENDULKA, J.

RIV year

2008

Released

1. 8. 2008

Publisher

IGI Global

Location

Hershey, New York

ISBN

978-1-60566-010-3

Book

Encyclopedia of Data Warehousing and Mining. Volume 2.

Edition number

Second Edition

Pages from

689

Pages to

694

Pages count

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"
}