Active Learning Genetic programming for record deduplication

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{deFreitas:2010:cec,

• author = "Junio {de Freitas} and Gisele L. Pappa and Altigran S. {da Silva} and Marcos A. Goncalves and Edleno Moura and Adriano Veloso and Alberto H. F. Laender and Moises G. {de Carvalho}",
• title = "Active Learning Genetic programming for record deduplication",
• booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-4244-6910-9",
• URL = "http://www.dcc.ufmg.br/~adrianov/papers/CEC10/cec10.pdf",
• abstract = "The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases available to evaluate their models are labelled. However, in certain application domains, a lot of human effort is required to label training data, and methods following a semi-supervised approach might be more appropriate. This is because they significantly reduce the time required for data labelling while maintaining acceptable accuracy rates. This paper presents the Active Learning GP (AGP), a semi-supervised GP, and instantiates it for the data deduplication problem. AGP uses an active learning approach in which a committee of multi-attribute functions votes for classifying record pairs as duplicates or not. When the committee majority voting is not enough to predict the class of the data pairs, a user is called to solve the conflict. The method was applied to three datasets and compared to two other deduplication methods. Results show that AGP guarantees the quality of the deduplication while reducing the number of labeled examples needed.",
• DOI = "doi:10.1109/CEC.2010.5586104",
• notes = "WCCI 2010. Also known as \cite{5586104}",

}

Genetic Programming entries for Junio de Freitas Gisele L Pappa Altigran S da Silva Marcos Andre Goncalves Edleno Silva de Moura Adriano Veloso Alberto H F Laender Moises G de Carvalho

Citations