Detail publikace

Average Distance Based Method For Association Rules Discovery In Relational Databases

BARTÍK, V.

Originální název

Average Distance Based Method For Association Rules Discovery In Relational Databases

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

The paper describes the new method for association rule discovery in relational databases, which contain quantitative and categorical attributes. Many methods have been developed yet. But most of these methods are based on initial equi-depth discretization of quantitative attributes. These approaches bring the loss of information. The basic idea of the new method is to separate processing of categorical and quantitative attributes. The first step finds frequent k-itemsets containing only values of categorical attributes and then quantitative attributes are processed one by one. Discretization of values during quantitative attributes processing is based on a new measure called average distance.

Klíčová slova

Data mining, association rule, categorical attribute, quantitative attribute, average distance

Autoři

BARTÍK, V.

Rok RIV

2003

Vydáno

30. 4. 2003

Místo

Ostrava

ISBN

80-85988-84-4

Kniha

Proceedings of 6th International Conference ISIM'03 - Information Systems Implementation and Modelling

Strany od

161

Strany do

168

Strany počet

8

BibTex

@inproceedings{BUT13997,
  author="Vladimír {Bartík}",
  title="Average Distance Based Method For Association Rules Discovery In Relational Databases",
  booktitle="Proceedings of 6th International Conference ISIM'03 - Information Systems Implementation and Modelling",
  year="2003",
  pages="161--168",
  address="Ostrava",
  isbn="80-85988-84-4"
}