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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(5): 603-608 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.192

Data Mining: Next Generation Challenges and Future Directions

Dipti Verma and Rakesh Nashine

Abstract—Data mining is the process of discovering actionable information from large sets of data. Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. The data mining methods such as clustering, association rules, sequential pattern, statistics analysis, characteristics rules and so on can be used to find out the useful knowledge, enabling such data to become the real fortune for decisions and development. This paper introduces the significance of the application of data mining in different areas, challenges its future directions. Finally, it is pointed out that the data mining technology is becoming more and more powerful.

Index Terms—Data mining concept, applications, challenges, future direction.

Dipti Verma is with the G. H. Raisoni College of Engineering, Digdoh hills, Nagpur, Maharashtra (e-mail: diptidverma@ rediffmail.com).
Rakesh Nashine is with Citi Bank Mumbai, Maharashtra (e-mail: nashine.rakesh@gmail.com).

[PDF]

Cite: Dipti Verma and Rakesh Nashine, "Data Mining: Next Generation Challenges and Future Directions," International Journal of Modeling and Optimization vol. 2, no. 5, pp. 603-608, 2012.

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