A Web page classification system based on a genetic algorithm using tagged-terms as features

Expert Systems with Applications

Volumn 38, Issue 4, 2011, Pages 3407-3415

  Özel, Selma Ayşe ^a  

^a CUKUROVA UNIVERSITY   (Turkey)

Author keywords

Classification; Classifier learning; Genetic algorithms; Web mining

Indexed keywords

AMOUNT OF INFORMATION; BELONG TO; CLASSIFICATION; CLASSIFICATION ACCURACY; CLASSIFICATION FEATURES; CLASSIFIER LEARNING; FOCUSED CRAWLING; HTML TAGS; K-NEAREST NEIGHBOR CLASSIFIER; NEGATIVE DOCUMENTS; OPTIMAL CLASSIFIERS; OPTIMAL WEIGHT; POSITIVE DOCUMENTS; TRAINING DATASET; WEB MINING; WEB PAGE; WEB PAGE CLASSIFICATION;

CLASSIFIERS; GENETIC ALGORITHMS; HTML; INFORMATION RETRIEVAL SYSTEMS; LEARNING ALGORITHMS; OPTIMIZATION; TRACKING (POSITION); WORLD WIDE WEB;

CLASSIFICATION (OF INFORMATION);

EID: 78650716116     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.08.126     Document Type: Article

References (30)

1. .S. Altingövde, S.A. Özel, Ö. Ulusoy, G. Özsoyolu, and Z.M. Özsoyolu Topic-centric querying of Web information resources Lecture Notes in Computer Science 2113 2001 699 711
2. R. Baeza-Yates, and B. Ribeiro-Neto Modern information retrieval 1999 Addison-Wesley New York
3. R. Bai, X. Wang, and J. Liao Combination of rough sets and genetic algorithms for text classification Lecture Notes in Artificial Intelligence 4476 2007 256 268
4. M. Boughanem, C. Chrisment, and L. Tamine Genetic approach to query space exploration Information Retrieval 1 1999 175 192
5. S. Chakrabarti, M. Van den Berg, and B. Dom Focused crawling: A new approach to topic-specific Web resource discovery Computer Networks 31 11-16 1999 1623 1640
6. C.M. Chen, H.M. Lee, and Y.J. Chang Two novel feature selection approaches for Web page classification Expert Systems with Applications 36 2009 260 272
7. H. Chen, and J. Kim GANNET: A machine learning approach to document retrieval Journal of Management Information Systems 11 3 1995 7 41
8. R.C. Chen, and C.H. Hsieh Web page classification based on a support vector machine using a weighted vote schema Expert Systems with Applications 31 2006 427 435
9. Craven, M.; DiPasquo, D.; Freitag, D.; McCallum, A.; Mitchell, T.; Nigam, K.; et al. (1998). Learning to extract symbolic knowledge from the World Wide Web. In The 15th national conference on artificial intelligence (pp. 509-516). AAAI Press.
10. P.M.E. De Bra, and R.D.J. Post Information retrieval in the World Wide Web: Making client-based searching feasible Computer Networks and ISDN Systems 27 2 1994 183 192
11. M. Gordon Probabilistic and genetic algorithms for document retrieval Communications of the ACM 31 10 1988 1208 1218
12. J. Han, and M. Kamber Data mining: Concepts and techniques 2nd ed. 2006 Morgan Kaufman San Francisco
13. J. Holland Adaptation in natural and artificial systems 1975 MIT Press Cambridge, MA (1992)
14. S. Kim, and B.T. Zhang Genetic mining of HTML structures for effective Web document retrieval Applied Intelligence 18 2003 243 256
15. H. Liu, and S. Huang A genetic semi-supervised fuzzy clustering approach to text classification Lecture Notes in Computer Science 2762 2003 173 180
16. F. Menczer, G. Pant, and P. Srinivasan Topical Web crawlers: Evaluating adaptive algorithms ACM Transactions on Internet Technology 4 4 2004 378 419
17. Z. Michalewicz Genetic algorithm + data structure = evolution programs 3rd ed. 1996 Springer New York
18. S.A. Özalp A genetic algorithm for scheduling of jobs on lines of press machines Lecture Notes in Computer Science 3743 2006 535 543
19. Özel, S. A.; Sara, E. (2008). Focused crawler for finding professional events based on user interests. In The 23rd of the international symposium on computer and information sciences (ISCIS 2008) (pp. 441-444) Istanbul, Turkey: IEEE.
20. Pinkerton, B. (1994). Finding what people want: Experiences with the Web crawler. In The second international WWW conference.
21. A. Pietramala, V.L. Policicchio, P. Rullo, and I. Sidhu A genetic algorithm for text classification rule induction Lecture Notes in Artificial Intelligence 5212 2008 188 203
22. M.F. Porter An algorithm for suffix stripping Program 14 3 1980 130 137
23. Qi, D.; Sun, B.; (2004). A genetic k-means approaches for automated Web page classification. In IEEE international conference on information reuse and integration, IRI-2004. Las Vegas, NV (pp. 241-246).
24. X. Qi, and B.D. Davison Web page classification: Features and algorithms ACM Computing Surveys 41 2 2009 (article 12)
25. A. Ribeiro, V. Fresno, M.C. Garcia-Alegre, and D. Guinea Web page classification: A soft computing approach Lecture Notes in Artificial Intelligence 2663 2003 103 112
26. A.M. Robertson, and P. Willet An upper bound to the performance of ranked output searching: Optimal weighting of query terms using a genetic algorithm Journal of Documentation 52 4 1996 405 420
27. G. Salton, A. Wong, and C.S. Yang A vector space model for automatic indexing Communications of the ACM 18 11 1975 613 620
28. A. Selamat, and S. Omatu Web page feature selection and classification using neural networks Information Sciences 158 2004 69 88
29. A. Trotman Choosing document structure weights Information Processing & Management 41 2 2005 243 264
30. T. Wakaki, H. Itakura, M. Tamura, H. Motoda, and T. Washio A study on rough set-aided feature selection for automatic web-page classification Web Intelligence and Agent Systems: An International Journal 4 2006 431 441