About: Mining Association Rules from Relational Data

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About: Mining Association Rules from Relational Data - Average Distance Based Method Goto Sponge NotDistinct Permalink

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The paper describes a new method for association rule discovery in relational databases, which contain both quantitative and categorical attributes. Most of the methods developed in the past are based on initial equi-depth discretization of quantitative attributes. These approaches bring the loss of information. Distance-based methods are another kind of methods. They try to respect the semantics of data. The basic idea of the new method is to separate processing of categorical and quantitative attributes. The first step finds frequent itemsets containing only values of categorical attributes and then quantitative attributes are processed one by one. Discretization of values during quantitative attributes processing is distance-based. A new measure called average distance is introduced for these purposes. The paper describes the method and results of several experiments on real world data. The paper describes a new method for association rule discovery in relational databases, which contain both quantitative and categorical attributes. Most of the methods developed in the past are based on initial equi-depth discretization of quantitative attributes. These approaches bring the loss of information. Distance-based methods are another kind of methods. They try to respect the semantics of data. The basic idea of the new method is to separate processing of categorical and quantitative attributes. The first step finds frequent itemsets containing only values of categorical attributes and then quantitative attributes are processed one by one. Discretization of values during quantitative attributes processing is distance-based. A new measure called average distance is introduced for these purposes. The paper describes the method and results of several experiments on real world data. (en)
Title	Mining Association Rules from Relational Data - Average Distance Based Method Mining Association Rules from Relational Data - Average Distance Based Method (en)
skos:prefLabel	Mining Association Rules from Relational Data - Average Distance Based Method Mining Association Rules from Relational Data - Average Distance Based Method (en)
skos:notation	RIV/00216305:26230/03:PU42633!RIV11-MSM-26230___
http://linked.open...avai/riv/aktivita	N V
http://linked.open...avai/riv/aktivity	N, V
http://linked.open...iv/cisloPeriodika	2888
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Zendulka, Jaroslav Bartík, Vladimír
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	615619
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/03:PU42633
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	association rule, frequent itemset, categorical attribute, quantitative attribute (en)
http://linked.open.../riv/klicoveSlovo	association rule categorical attribute frequent itemset quantitative attribute
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[DB3829EE8D92]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Computer Science (IF 0,513)
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2003
http://linked.open...v/svazekPeriodika	2003
http://linked.open...iv/tvurceVysledku	Zendulka, Jaroslav Bartík, Vladimír
issn	0302-9743
number of pages	10 (xsd:int)
http://localhost/t...ganizacniJednotka	26230

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