Intelligent fusion of structural and citation-based evidence for text classification

SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2005, Pages 667-668

  Zhang, Baoping ^a   Chen, Yuxin ^a   Fan, Weiguo ^a   Fox, Edward A ^a   Gonçalves, Marcos André ^b   Cristo, Marco ^b   Calado, Pável ^c  

^a State University   (United States)

^b FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^c INESC ID   (Portugal)

Author keywords

classification; document similarity; genetic programming

Indexed keywords

CITATION INFORMATION; CLASSIFICATION SCHEME; DOCUMENT SIMILARITY; INTELLIGENT FUSION; SIMILARITY FUNCTIONS; STRUCTURAL CONTENT; SUPPORT VECTOR MACHINE CLASSIFIERS; TEXT CLASSIFICATION;

CLASSIFICATION (OF INFORMATION); DIGITAL LIBRARIES; EXPERIMENTS; GENETIC PROGRAMMING; INFORMATION RETRIEVAL; TEXT PROCESSING;

SUPPORT VECTOR MACHINES;

EID: 51149083522     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1076034.1076181     Document Type: Conference Paper

References (3)

1. W. Fan, M. D. Gordon, and P. Pathak. Discovery of context-specific ranking functions for effective information retrieval using genetic programming. TKDE-04, 16(4):523-527, 2004.
2. J. R. Koza. Genetic programming: On the programming of computers by natural selection. MIT Press, Cambridge, 1992.
3. Y. Yang. Expert network: effective and efficient learning from human decisions in text categorisation and retrieval. In Proc. of SIGIR-94, pages 13-22, Dublin, IE, 1994.