International Journals of Marketing and Technology
Year : 2011, Volume : 1, Issue : 7
First page : ( 139) Last page : ( 149)
Online ISSN : 2248-1058.

Data Mining Issues and Key to Success

Sihint Deep Mala, B.Sc, M.A (English), MCA

Lecturer, Jayawant Institute of Management Studies, Tathwade, Pune-411033

Online published on 29 June, 2013.

Abstract

The major reason that data mining has attracted a great deal of attention in the information industry in recent years is due to wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge, and can be used for applications ranging from business management, production control and market analysis to engineering design and science exploration. A fruitful direction for future data mining research will be the development of techniques that incorporate privacy concerns. Data Mining is the process of automatic discovery and understandable models and patterns from large amounts of data. Data mining has attracted tremendous interest in the research community as well as commercial market place. The last few years have witnessed a flurry of technical innovations and introduction of commercial products. The next major challenge facing data mining is to make a transition from a niche technology to a main stream technology. In this paper we will present key technical issues that must be addressed for a successful transition.

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Keywords

Data Mining, Data, Information, Process, growth, Storage.

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