DocumentCode
493487
Title
A Method for Classification of English Reading Materials Based on Web Information Mining
Author
Wu, Hao
Author_Institution
Hunan Radio & TV Univ., Changsha
Volume
1
fYear
2009
fDate
7-8 March 2009
Firstpage
465
Lastpage
468
Abstract
With the continuous improvement of information technology and increasing numbers of Web resources, the mode of English reading teaching has changed fundamentally, and the diversity and flexibility of English reading materials achieve a great progress. Because English reading materials were hand-election selection, subjects were lack of varieties and the classification work was heavy, this paper provides a model for automation classification of English reading materials based on Web information mining. Through this method, it will provide an effective method for building a highly efficient and practical system of automatic classification of English reading materials.
Keywords
Internet; data mining; data structures; educational administrative data processing; pattern classification; teaching; English reading material teaching; Web information mining; data mining; hand-election selection; information technology; Computer science; Computer science education; Continuing education; Data mining; Educational technology; Information analysis; Materials science and technology; Text categorization; Text mining; Web mining; English reading; classification; text mining; web information;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-3581-4
Type
conf
DOI
10.1109/ETCS.2009.112
Filename
4958815
Link To Document