Mukhopadhyay, Bikash; Mukhopadhyay, Sripati(INFLIBNET Centre, Ahmedabad, February NaN, 2004)
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Abstract:
Data mining automatically and exhaustively explores very large datasets, consequently
uncovering otherwise hidden relationships among data. This technology has been
successfully applied in science, health, marketing and finance to aid new discoveries and
strengthen markets. In addition, data mining techniques are being applied to discover and
organize information from the Web. Unfortunately these advancements in data storage
and distribution technology have not been accompanied by respective research in data
retrieval technology for a long time. To put it in short: we are now being flooded with data, yet
we are starving for knowledge. This need has created an entirely new approach to data
processing - the data mining, which concentrates on finding important trends and meta-information
in huge amounts of raw data. In this paper the main concepts of data mining
and automatic knowledge discovery in databases are presented (clustering, finding
association rules, categorisation, statistical analysis).