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Detail publikačního výsledku
BARTÍK, V.; ZENDULKA, J.
Originální název
Distance-Based Methods for Association Rules Mining
Anglický název
Druh
Kapitola, resp. kapitoly v odborné knize
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
Klíčová slova
association rule, distance-based method, categorical attribute, discretization, quantitative attibute, static and dynamic discretization
Klíčová slova v angličtině
Autoři
Rok RIV
2010
Vydáno
01.08.2008
Nakladatel
IGI Global
Místo
Hershey, New York
ISBN
978-1-60566-010-3
Kniha
Encyclopedia of Data Warehousing and Mining. Volume 2.
Strany od
689
Strany do
694
Strany počet
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" }