A PSO-based web document classification algorithm

Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing

Volumn 3, Issue , 2007, Pages 659-664

  Wang, Ziqiang ^a   Zhang, Qingzhou ^a   Zhang, Dexian ^a  

^a HENAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; GLOBAL OPTIMIZATION; WORLD WIDE WEB;

DOCUMENT CLASSIFICATION; DOCUMENT CLASSIFICATION COMMUNITY; PARTICLE SWARM OPTIMIZATION (PSO);

CLASSIFICATION (OF INFORMATION);

EID: 35148855737     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SNPD.2007.84     Document Type: Conference Paper

References (16)

1. C.J. Van Rijsbergen, Information Retrieval, Butterworths, London, 1979.
2. D.D.Lewis, "Naive Bayes at forty: the independence assumption in information retrieval", Proceedings of the 10th European Conference on Machine Learning, Springer, Berlin, April 1998, pp.4-15.
3. Y.Yang, S.Slattery, and R.Ghani, "A study of approaches to hypertext categorization", Journal of Intelligent Information Systems, Springer, Berlin, March 2002, pp. 219-241.
4. F.Sebastiani, "Machine learning in automated text categorization", ACM Computing Surveys, ACM Press, New York, March 2002,pp. 1-47.
5. E. D.Wiener, J.O.Pedersen, and A.S.Weigend,"A neural network approach to topic spotting", Proceedings of the fourth Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, NV, April 1995,pp.317-332.
6. T.Joachims, "Text categorization with support vector machines: learning with many relevant features", Proceedings of the 10th European Conference on Machine Learning, Springer, Berlin, April 1998,pp. 137-142.
7. R.C.Eberhart,J.Kennedy, "A new optimizer using particle swarm theory", Proceedings of the 6th Symposium Micro Machine and Human Science, IEEE Press, Los Alamitos, CA, October 1995,pp.39-43.
8. Z. G.Wang, Improving on latent semantic indexing for chemistry portal, The dissertation for the degree of Master of Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 2003.
9. M. F. Porter, "An algorithm for suffix stripping", Readings in information retrieval,Morgaxi Kaufmann Publishers Inc., San Francisco, CA, April 1997, pp.313-316.
10. V.P.Guerrero-Bote, F. Moya-Anegon, and V.HerreroSolana, "Document organization using Kohonen's algorithm", Information Processing and Management, Elsevier Science, New York, January 2002, pp.79-89.
11. S.T. Dumais, "Improving the retrieval of information from external sources", Behavior Research Methods, Instruments and Computers, IngentaConnect Publication, Cambridge, MA, February 1991, pp.229-236.
12. J.Kennedy, "The particle swarm: social adaptation of knowledge", Proceedings of 1997 IEEE International Conference on Evolutionary Computation, IEEE Press, Los Alamitos, CA, April 1997,pp. 303-308.
13. Y.Yang, "An evaluation of statistical approaches to text categorization",Information Retrieval, Springer, Berlin, April 1999, pp.69-90.
14. D.D.Lewis,Reuters-21578, distribution 1.0, http: //www.daviddlewis.com/ resources/testcollections/reuters21578, 1997.
15. D.D.Lewis ,R.E.Schapire ,J.P.Callan , and R.Papka, "Training algorithms for linear text classifiers", Proceedings of the 19th Annual International ACM Conference on Research and Development in Information Retrieval, ACM Press, New York, August 1996,pp.298-306.
16. F.Provost, T.Fawcett, "Robust classification for imprecise environments", Machine Learning, Springer, Netherlands, March 2001, pp.203-231.