Detail výsledku

Average Distance Based Method for Association Rules Discovery in Relational Databases

BARTÍK, V. Average Distance Based Method for Association Rules Discovery in Relational Databases. Proceedings of 6th International Conference ISIM'03 - Information Systems Implementation and Modelling. Ostrava: Marq software s.r.o., 2003. p. 161-168. ISBN: 80-85988-84-4.
Typ
článek ve sborníku konference
Jazyk
anglicky
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Abstrakt

The paper describes the new method for association rule discovery inrelational databases, which contain quantitative and categoricalattributes. Many methods have been developed yet. But most of thesemethods are based on initial equi-depth discretization of quantitativeattributes. These approaches bring the loss of information. The basicidea of the new method is to separate processing of categorical andquantitative attributes. The first step finds frequent k-itemsetscontaining only values of categorical attributes and then quantitativeattributes are processed one by one. Discretization of values duringquantitative attributes processing is based on a new measure calledaverage distance.

Klíčová slova

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

Rok
2003
Strany
161–168
Sborník
Proceedings of 6th International Conference ISIM'03 - Information Systems Implementation and Modelling
Konference
6th International Conference on Information Systems Implementation and Modelling
ISBN
80-85988-84-4
Vydavatel
Marq software s.r.o.
Místo
Ostrava
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",
  publisher="Marq software s.r.o.",
  address="Ostrava",
  isbn="80-85988-84-4"
}
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