DocumentCode :
2108331
Title :
Application of Quotient Space Theory in Cases Organization
Author :
Li, Haifang ; Jin, Hui ; Zhang, Dahu
Author_Institution :
Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
975
Lastpage :
978
Abstract :
People who are not familiar with data mining algorithms canpsilat use general data mining systems, because these data mining systems must rely on experts to give the algorithm to operate data mining. To make more people can use data mining systems conveniently; data mining system based on Case Based Reasoning was put forward in the paper. In this system, cases were organized under fuzzy quotient space model instead of traditional case index tree. Quotient space theory can divide orient universe into different grain size world, when retrieving case, it doesnpsilat need to compare with all the cases in case base like index tree, which can improve retrieval efficiency and accurate rate. Experiment indicates the average effect was improved by 51.81 percent; it will become higher if the case base becomes bigger.
Keywords :
case-based reasoning; data mining; fuzzy set theory; trees (mathematics); case base like index tree; case based reasoning; case index tree; cases organization; data mining algorithms; data mining systems; fuzzy quotient space model; orient universe; quotient space theory; Aggregates; Application software; Data engineering; Data mining; Educational institutions; Information science; Information technology; Software algorithms; Space technology; Topology; Case based reasoning; Case organization; Fuzzy quotient space; Knowledge engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3505-0
Type :
conf
DOI :
10.1109/IITA.Workshops.2008.194
Filename :
4732099
Link To Document :
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