Title :
A Method for Classification of English Reading Materials Based on Web Information Mining
Author_Institution :
Hunan Radio & TV Univ., Changsha
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;
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
DOI :
10.1109/ETCS.2009.112