Intelligent GP fusion from multiple sources for text classification

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Zhang:2005:IGF,

• author = "Baoping Zhang and Yuxin Chen and Weiguo Fan and Edward A. Fox and Marcos Goncalves and Marco Cristo and Pavel Calado",
• title = "Intelligent {GP} fusion from multiple sources for text classification",
• booktitle = "Proceedings of the 14th {ACM} international Conference on Information and Knowledge Management",
• year = "2005",
• month = oct # " 31-" # nov # " 5",
• address = "Bremen, Germany",
• publisher = "ACM Press",
• organisation = "ACM: Association for Computing Machinery SIGIR: ACM Special Interest Group on Information Retrieval",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://homepages.dcc.ufmg.br/~mgoncalv/DLCourse/f302-zhang.pdf",
• DOI = "doi:10.1145/1099554.1099688",
• size = "8 pages",
• abstract = "This paper shows how citation-based information and structural content (e.g., title, abstract) can be combined to improve classification of text documents into predefined categories. We evaluate different measures of similarity -- five derived from the citation information of the collection, and three derived from the structural content -- and determine how they can be fused to improve classification effectiveness. To discover the best fusion framework, we apply Genetic Programming (GP) techniques. Our experiments with the ACM Computing Classification Scheme, using documents from the ACM Digital Library, indicate that GP can discover similarity functions superior to those based solely on a single type of evidence. Effectiveness of the similarity functions discovered through simple majority voting is better than that of content-based as well as combination-based Support Vector Machine classifiers. Experiments also were conducted to compare the performance between GP techniques and other fusion techniques such as Genetic Algorithms (GA) and linear fusion. Empirical results show that GP was able to discover better similarity functions than GA or other fusion techniques.",
• notes = "CIKM'05",

}

Genetic Programming entries for Baoping Zhang Yuxin (Jerry) Chen Weiguo Fan Edward A Fox Marcos Andre Goncalves Marco Cristo Pavel Pereira Calado

Citations