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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), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Editor-in-chief
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 2016 Vol.4(3): 234-237 ISSN: 2301-3559
DOI: 10.18178 /LNSE.2016.V4.256

An Efficient Cloud Data Mining (CDM) Algorithm for Frequent Pattern Mining in Cloud Computing Environment

Dheresh Soni, Atish Mishra, and Hitesh Gupta
Abstract—Cloud computing has been acknowledged as one of the prevailing models for providing IT capacities. The computing paradigm that comes with cloud computing has incurred great concerns on the security of data, especially the integrity and confidentiality of data, as cloud service providers may have complete control on the computing infrastructure that underpins the services. In this paper we want to generalize the formulation of data mining techniques with cloud computing environment. In data mining we want to find useful patterns with different methodology. The main issue with data mining techniques is that the space required for the item set and there operations are very huge. If we combine data mining techniques with cloud computing environment, then we can rent the space from the cloud providers on demand. This solution can solve the problem of huge space and we can apply data mining techniques without taking any consideration of space. This paper basically survey and analyze the utility for solving the above situation.

Index Terms—Cloud computing, data mining, frequent pattern, cloud storage.

Dheresh Soni and Atish Mishra are with CSE, India (e-mail: research.dheresh@gmail.com, atish_mishra2404 @yahoo.co.in).
Hitesh Gupta is with the Dept. of CSE (HOD) of Patel College of Science & Technology, Bhopal, M.P India (e-mail: gupta_hitesh@sify.com).

[PDF]

Cite:Dheresh Soni, Atish Mishra, and Hitesh Gupta, "An Efficient Cloud Data Mining (CDM) Algorithm for Frequent Pattern Mining in Cloud Computing Environment," Lecture Notes on Software Engineering vol. 4, no. 3, pp. 234-237, 2016.

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