Data mining is the process of analyzing data from different views and summarizing it into useful data. “Data mining, also
popularly referred to as knowledge discovery from data (KDD), is the automated or convenient extraction of patterns representing
knowledge implicitly stored or captured in large databases, data warehouses, the Web, other massive information repositories or data
streams.”. This paper provides a survey on various data mining techniques such as classification, clustering, regression, summarization
and so on. This paper also discusses some of the data mining applications.
S. Sathiyapriya : Ph.D Research Scholar
Pollachi – 642001.
Dr. A. Kanagaraj : Assistant Professor
PG Department of Computer Science
NGM College, Pollachi-642001
KDD, Data Mining, Data Mining Techniques, Data Mining Application.
According to the techniques of data mining listed
above, it is learned that this a powerful and essential
technique for performing manipulation of data that is data
mining gives proper and targeted outcome from large and
vastly growing data worldwide. This paper discusses the
idea of data mining, the process of KDD, different
techniques such as clustering, association, classification,
prediction and so on. We also discussed some insights of
the data mining applications.
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