Detail publikace

Distance-Based Methods for Association Rules Mining

Originální název

Distance-Based Methods for Association Rules Mining

Anglický název

Distance-Based Methods for Association Rules Mining

Jazyk

en

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.

Anglický 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.

BibTex


@inbook{BUT55181,
  author="Vladimír {Bartík} and Jaroslav {Zendulka}",
  title="Distance-Based Methods for Association Rules Mining",
  annote="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.",
  address="IGI Global",
  booktitle="Encyclopedia of Data Warehousing and Mining. Volume 2.",
  chapter="55181",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IGI Global",
  year="2008",
  month="august",
  pages="689--694",
  publisher="IGI Global",
  type="book chapter"
}