Automatic syllabus classification

Proceedings of the ACM International Conference on Digital Libraries

Volumn , Issue , 2007, Pages 440-441

  Yu, Xiaoyan ^a   Tungare, Manas ^a   Fan, Weiguo ^a   Perez Quinones, Manuel ^a   Fox, Edward A ^a   Cameron, William ^b   Teng, Guofang ^b   Cassel, Lillian ^b  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b VILLANOVA UNIVERSITY   (United States)

Author keywords

Genre; SVM; Syllabus; Text classification

Indexed keywords

DATA REDUCTION; SEARCH ENGINES; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

GENRE; SYLLABUS;

CLASSIFICATION (OF INFORMATION);

EID: 36348950328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1255175.1255265     Document Type: Conference Paper

References (4)

1. T. Joachims. Text categorization with support vector machines: Learning with many relevant features. In Proceedings of the European Conference on Machine Learning, Springer, 1998.
2. A. Kennedy and M. Shepherd. Automatic identification of home pages on the web. In HICSS '05: Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4, Washington, DC, USA, 2005. IEEE Computer Society.
3. S.-B. Kim, K.-S. Han, H.-C. Rim, and S. H. Myaeng. Some effective techniques for naive bayes text classification. IEEE Transactions on Knowledge and Data Engineering, 18(11):1457-1466, November 2006.
4. M. Tungare, X. Yu, W. Cameron, G. Teng, M. Pérez-Quiñones, E. Fox, W. Fan, and L. Cassel. Towards a syllabus repository for computer science courses. In Proceedings of the 38th Technical Symposium on Computer Science Education (SIGCSE 2007), 2007.