Abstract of A Literature Survey on Contrast Data Mining
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 111

Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 1, January 2015

A Literature Survey on Contrast Data Mining

Dinkal Shah, Narendra Limbad

Data mining refers to extracting or mining knowledge from large amount of data. Data mining also called KDD (Knowledge Discovery). There are some types of classification techniques Decision Tree, Nave Bayesian, Neural Network, Contrast Data Mining. Contrast Data mining is a new approach in data mining. Various types of contrast pattern are described. Contrast data mining is the mining of patterns and models contrasting two or more classes or conditions. The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Emerging patterns are sets of items whose frequency changes significantly from one dataset to another. HGEP strategy has higher accuracy than the NEP strategy.

Keywords: Contrast data Mining, EP, NEP, HGEP

Edition: Volume 4 Issue 1, January 2015

Pages: 954 - 958

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How to Cite this Article?

Dinkal Shah, Narendra Limbad, "A Literature Survey on Contrast Data Mining", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB14736, Volume 4 Issue 1, January 2015, 954 - 958

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