Automatic Threshold Selection using PSO for GA based Duplicate Record Detection

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@Article{Deepa:2013:IJCA,

• author = "K. Deepa and R. Rangarajan and M. Senthamil Selvi",
• title = "Automatic Threshold Selection using PSO for GA based Duplicate Record Detection",
• journal = "International Journal of Computer Applications",
• year = "2013",
• volume = "62",
• number = "4",
• month = jan,
• keywords = "genetic algorithms, genetic programming, GA, PSO, similarity metrics, threshold",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.303.6638",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.6638",
• URL = "http://research.ijcaonline.org/volume62/number4/pxc3884674.pdf",
• size = "6 pages",
• abstract = "Normally setting the threshold is an important issue in applications where the similarity functions are used and it relies more on human intervention. The proposed work addressed two issues: first to find the optimal equation using Genetic Algorithm (GA) and next it adopts an intelligence algorithm, Particle Swarm Optimisation (PSO) to get the optimal threshold to detect the duplicate records more accurately and also it reduces human intervention. Restaurant and CORA data repository are used to analyse the proposed algorithm and the performance of the proposed algorithm is compared against marlin method and the genetic programming with the help of evaluation metrics.",
• notes = "Sri Ramakrishna Engg College, Coimbatore",

}

Genetic Programming entries for K Deepa R Rangarajan Senthamil Selvi Marudavelu

Citations