Optimization Techniques To Record Deduplication

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Karunakaran:2012:JCS,

• author = "Deepa Karunakaran and Rangarajan Rangaswamy",
• title = "Optimization Techniques To Record Deduplication",
• journal = "Journal of Computer Science",
• year = "2012",
• volume = "8",
• number = "9",
• pages = "1487--1495",
• month = aug # " 11",
• keywords = "genetic algorithms, genetic programming, Data preprocessing, remaining datasets, similarity measure obtained, evaluation metrics, Artificial Bee Colony (ABC)",
• publisher = "Science Publications",
• ISSN = "1549-3636",
• bibsource = "OAI-PMH server at www.doaj.org",
• language = "eng",
• oai = "oai:doaj-articles:6180e9f77d61fc46394fa6778978efc6",
• URL = "http://www.thescipub.com/pdf/10.3844/jcssp.2012.1487.1495",
• URL = "http://thescipub.com/abstract/10.3844/jcssp.2012.1487.1495",
• DOI = "doi:10.3844/jcssp.2012.1487.1495",
• size = "9 pages",
• abstract = "Duplicate record detection is important for data preprocessing and cleaning. Artificial Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behaviour of a honey bee swarm. Our approach to duplicate detection is the use of ABC algorithm for generating the optimal similarity measure to decide whether the data is duplicate or not. In the training phase, ABC algorithm is used to generate the optimal similarity measure. Once the optimal similarity measure obtained, the deduplication of remaining datasets is done with the help of optimal similarity measure generated from the ABC algorithm. We have used Restaurant and Cora datasets to analyse the proposed algorithm and the performance of the proposed algorithm is compared against the genetic programming technique with the help of evaluation metrics.",

}

Genetic Programming entries for Deepa Karunakaran Rangarajan Rangaswamy

Citations