A Detection of Duplicate Records from Multiple Web Databases using pattern matching in UDD

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@Article{Bharambe:2013:ijetae,

• author = "Dewendra Bharambe and Susheel Jain and Anurag Jain",
• title = "A Detection of Duplicate Records from Multiple Web Databases using pattern matching in UDD",
• journal = "International Journal of Emerging Technology and Advanced Engineering",
• year = "2013",
• volume = "3",
• number = "5",
• pages = "412--417",
• month = may,
• keywords = "genetic algorithms, genetic programming, data deduplication, UDD, SVM, WCSS, genetic algorithm, pattern matching",
• ISSN = "2250--2459",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.413.7928",
• 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=10.1.1.413.7928",
• URL = "http://www.ijetae.com/files/Volume3Issue5/IJETAE_0513_68.pdf",
• URL = "http://www.ijetae.com/Volume3Issue5.html",
• abstract = "Record matching refers to the task of finding entries that refer to the same entity in two or more files, is a vital process in data integration. Most of the supervised record matching methods require training data provided by users. Such methods can not apply for web database scenario, where query results dynamically generated. In existing system, an unsupervised record matching method effectively identifies the duplicates from query result records of multiple web databases by identifying the duplicate and non duplicate set in the source and from that non duplicate set again searches for the existence of duplication. Then use two co-operative classifiers from the non duplicate set, they are Weighted Component Similarity Summing (WCSS) Classifier and Support Vector Machine (SVM) classifier. These two classifiers can be used to identify the query results iteratively from multiple web databases. In this paper we modify record matching algorithm with genetic algorithm. The genetic programming is time consuming so we proposed UDD with genetic programming. A performance evaluation for accuracy is done for the dataset with duplicates using UDD and UDD with Genetic algorithm.",
• notes = "Article 68.",

}

Genetic Programming entries for Dewendra Onkar Bharambe Susheel Jain Anurag Jain

Citations