Average Distance Based Method for Association Rules Discovery in Relational Databases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F03%3APU42556" target="_blank" >RIV/00216305:26230/03:PU42556 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Average Distance Based Method for Association Rules Discovery in Relational Databases
Original language description
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 categgorical 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 6th International Conference ISIM'03 - Information Systems Implementation and Modelling
ISBN
80-85988-84-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
161-168
Publisher name
NEUVEDEN
Place of publication
Ostrava
Event location
Brno
Event date
Apr 28, 2003
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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