Title :
Organization of Case Base Represented with XML under Quotient Space
Author :
Fangpeng, Lan ; Jing, Deng
Author_Institution :
Coll. of Textile Eng. & Art, Taiyuan Univ. of Technol., Taiyuan
Abstract :
General data mining systems rely on experts to give the algorithm to operate data mining according to actual application, people who are not familiar with data mining algorithms canpsilat use these data mining systems, so we put forward data mining system based on Case-Based Reasoning. In this system, XML was used to represent cases. The case base was organized based on fuzzy quotient space model instead of traditional case index tree, which can improve retrieval efficiency and accurate rate at the same time. Experiment indicates the average effect was improved by more than 50 percent, it will become higher if the case base is bigger.
Keywords :
XML; case-based reasoning; data mining; fuzzy set theory; XML; case base representation; case index tree; case-based reasoning; data mining; fuzzy quotient space model; Art; Computer science; Data mining; Educational institutions; Problem-solving; Software algorithms; Space technology; Style sheet languages; Textile technology; XML; Quotient Space; XML; case-based reasoning; data mining;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1544