Digitale Bibliotheek
Sluiten Bladeren door artikelen uit een tijdschrift
 
<< vorige    volgende >>
     Tijdschrift beschrijving
       Alle jaargangen van het bijbehorende tijdschrift
         Alle afleveringen van het bijbehorende jaargang
           Alle artikelen van de bijbehorende aflevering
                                       Details van artikel 5 van 6 gevonden artikelen
 
 
  Raising data for improved support in rule mining: How to raise and how far to raise
 
 
Titel: Raising data for improved support in rule mining: How to raise and how far to raise
Auteur: Geller
Xuan Zhou
Kalpana Prathipati
Sripriya Kanigiluppai
Xiaoming Chen
Verschenen in: Intelligent data analysis
Paginering: Jaargang 9 (2005) nr. 4 pagina's 397-415
Jaar: 2005-08-29
Inhoud: This paper describes the use of a concept hierarchy for improving the results of association rule mining. Given a large set of tuples with demographic information and personal interest information, association rules can be derived, that associate ages and gender with interests. However, it is a problem to come up with rules with high support whenever the mined data set is sparse. On the other hand, if rules with high support can be generated, they tend to involve interests that are too abstract to be of practical use. To overcome the first problem, we have developed a method of raising data instances to higher levels in the ontology. In this paper we give a formal definition of the raising operation. We also show that in some cases data mining with raised data leads to rules that better represent the reality. In order to avoid the second problem, namely rules that are too abstract, we formulate a notion of an optimal target level for the raising operation. We then derive two estimates for this optimal raising level. Knowing to which level to raise reduces the computational effort of raising to several levels and reduces the user effort of selecting those mined rules that best fit her/his needs from a large candidate set.
Uitgever: IOS Press
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details van artikel 5 van 6 gevonden artikelen
 
<< vorige    volgende >>
 
 Koninklijke Bibliotheek - Nationale Bibliotheek van Nederland