DocumentCode :
3007500
Title :
Research on the Application of Improved Text Classific Algorithm in Intelligent Learning Platform
Author :
Zhou, Rurui ; Du, You-fu ; Zhao, Ming
Author_Institution :
Sch. of Comput. Sci., Yangtze Univ., Jingzhou
fYear :
2008
fDate :
25-26 Sept. 2008
Firstpage :
442
Lastpage :
446
Abstract :
With the rapid developing of the network information, it seems to be quite important to provide a more reasonable text classification algorithm for learners. In this paper,we adopt a sensitivity method to modify the characteristic weight in the distance formula and put up with a cutting method of training sample database based on CURE algorithm and Tabu algorithm; then adopt CURE cluster algorithm to acquire each representative sample in order to constitute a new training sample collection, then use Tabu algorithm to make a further maintenance to this sample collection. While appending the sample, it is only necessary to consider appending the samples of different type boundary. Append or delete sample with classification accuracy highest and with the original training sample database nearest to the rule, and provide learners with reasonable text classification system.
Keywords :
database management systems; learning (artificial intelligence); pattern classification; pattern clustering; search problems; text analysis; CURE cluster algorithm; Tabu algorithm; database; intelligent learning platform; sensitivity method; text classification algorithm; Application software; Classification algorithms; Clustering algorithms; Computer networks; Databases; Euclidean distance; Genetics; Intelligent networks; Text categorization; Vectors; CURE cluster algorithm; E-learning; Tabu algorithm; text Classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3334-6
Type :
conf
DOI :
10.1109/WGEC.2008.73
Filename :
4637481
Link To Document :
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