Info
Meny
English
Logg inn
Søk etter prosjekter, resultater og personer
Søk etter prosjekter, resultater og personer
Historikk
Cristin-resultat-ID:
623958
Sist endret:
29. januar 2007, 00:00
Resultat
Annet
1999
Finding small high performance subsets of induced rule sets: Extended summary
Thomas Ågotnes
Jan Komorowski
og
Aleksander Øhrn
Bok
Bok
Proceedings of the Seventh European Congress on Intelligent Techniques and Soft Computing (EUFIT'99)
Om resultatet
Om resultatet
Annet
Publiseringsår: 1999
Importkilder
Importkilder
ForskDok-ID: r07006392
Beskrivelse
Beskrivelse
Norsk, bokmål
Tittel
Finding small high performance subsets of induced rule sets: Extended summary
Sammendrag
Models consisting of decision rules ? such as those produced by methods from Pawlak?s rough set theory ? generally have a white-box nature, but in practice induced models are too large to be inspected. Here, we investigate methods for simplifying complex models while retaining predictive performance. The approach taken is rule filtering, i.e. post-pruning of complete rules. Two methods for finding high-performance subsets of a set of rules are investigated. One method is to use a genetic algorithm to search the space of subsets. Another method is to create an ordering of a rule set by sorting the rules according to a quality measure for individual rules. A rule set with a particular cardinality and expected good predictive performance can then be constructed by taking the first rules in the ordering. Algorithms for the two methods have been implemented in the ROS E T TA system. Predictive performance is estimated using ROC analysis, and compared using statistical hypothesis testing. Ten different formulae from the literature that can be used to define rule quality are compared. Experiments on real-world data show that models often can be dramatically simplified without significant performance loss.
Vis
fullstendig beskrivelse
Bidragsytere
Bidragsytere
Thomas Ågotnes
Forfatter
ved Institutt for datateknologi, elektroteknologi og realfag ved Høgskulen på Vestlandet
Jan Komorowski
Forfatter
ved Norges teknisk-naturvitenskapelige universitet
Aleksander Øhrn
Forfatter
1
-
3
av
3
Resultatet er en del av
Resultatet er en del av
Proceedings of the Seventh European Congress on Intelligent Techniques and Soft Computing (EUFIT'99).
1999,
Rapport
1
-
1
av
1