Paper Details

Presently, a very large amount of data stored indatabases is increasing at a tremendous speed. This requiresa need for new techniques and tools to aid humans inautomatically and intelligently analyzing large data sets toacquire useful information. This growing need gives a viewfor a new research field called Knowledge Discovery inDatabases (KDD) or Data Mining, which attract a attentionfrom researchers in many different fields including databasedesign, statistics, pattern recognition, machine learning, anddata visualization. Data mining is the process of discoveringinsightful, interesting, and novel patterns, as well asdescriptive, understandable and predictive models fromlarge-scale data. In this paper we overviewed different tasksincludes in Data mining. Data mining involves the tasks likeanomaly detection, classification, regression, associationrule learning, summarization and clustering

Jimesh Rana, Anu Thomas, “A Review on Data mining Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 13, pp. -, January 2015.