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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(2): 169-172 ISSN: 2301-3559
DOI: 10.7763/LNSE.2013.V1.38

Interactive Data Mining: A Brief Survey

M. Manohara, R. Dinesh, and S. M. Sowmya
Abstract—In the rapidly growing technologies, there exist large amount of data generated, captured and maintained in many industries. There is a need to analyse, and take strategic decision based on the historical data and to update the existing data as per the current need. In this paper, we have conducted a comprehensive survey on the areas related data mining such as Data Extraction, Transformation and Loading; Interactive Data mining; Knowledge Discovery and Content summarization. This survey highlights the challenges of the existing methods, evolutionary growth of technologies. Towards the end, the paper highlights prospective avenues for further research in the area of Interactive Data Mining.

Index Terms—Data visualization, data summarization, knowledge discovery in databases(KDD).

The authors are with School of Engineering and Technology, Jain University, Bangalore (e-mail: kotamanu@gmail.com, dr.dineshr@gmail.com, mssowmya.sbmjce@gmail.com).


Cite: M. Manohara, R. Dinesh, and S. M. Sowmya, "Interactive Data Mining: A Brief Survey," Lecture Notes on Software Engineering vol. 1, no. 2, pp. 169-172, 2013.

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