A Literature Survey on Contrast Data Mining

Dinkal Shah, Narendra Limbad

Abstract: 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

How to Cite?: Dinkal Shah, Narendra Limbad, "A Literature Survey on Contrast Data Mining", Volume 4 Issue 1, January 2015, International Journal of Science and Research (IJSR), Pages: 954-958, https://www.ijsr.net/getabstract.php?paperid=SUB14736, DOI: https://dx.doi.org/10.21275/SUB14736