Data mining techniques and algorithms in cloud environment a review

  • Authors

    • K Rajamani
    • D Sheela
    https://doi.org/10.14419/ijet.v7i1.9.10010

    Received date: March 9, 2018

    Accepted date: March 9, 2018

    Published date: March 1, 2018

  • Data Mining Techniques, Data Mining Algorithm, Cloud Computing

  • Abstract

    Cloud Computing is resourceful in which computing resources are made available on- demand to the user as needed. Data mining is a process of discovering interesting patterns from a large amount of data. The difficulty is in collecting these data and carrying out compu-tations to get the significant information. Data mining techniques and applications can be effectively used in cloud computing environment. Data mining and the cloud computing are considered as major technologies. The data mining in cloud computing allows organizations to centralize the management of software and data storage. This paper provides a review of various data mining techniques and different types of algorithms in cloud computing which can be used for resource sharing.

  • References

    1. Mrs.Bharathi M.Ramageri,”Data mining and applications”, Indian Journal of Computer Science and Engineering, Vol.1 No. 4, 2011.
    2. Dr. SankarRajagopal, “Customer Data Clustering using Data Mining Technique”, International Journal of Databse Management Systems, Vol 3. N0 4, Nov 2011
    3. AsthaPareek, ManishGupta,”Reviewnof Data Mining Techniques in Cloud Computing Database”, International Journal of Adavanced Computer Research, vol 2, no 2, june 2012.
    4. PeterMell, Timothy Grance: The NIST Definition of Cloud Com-puting, U. S. Department of Commerce, Special Publication 800-145.
    5. D. Taliaand P.Trunfio, How distributed data mining tasks can thrive as knowledge services Communications of the ACM. 53(2010)132-137. https://doi.org/10.1145/1785414.1785451.
    6. M. S. Chen, J. Han, and P. S. Yu. Data mining: an overview from database perspective. IEEE Trans. On Knowledge and Data Engi-neering, 5(1):866—883, Dec.199.
    7. Anuja R. Yeole, PoonamBorkar,”Survey Paper on Data Mining in Cloud Computing”, International Journal of Science and Research, vol-4, issue-3, march 2015.
    8. Pavel Berkhin, Accrue Software, 1045 Forest Knoll Dr., SanJose, CA, 95129: Survey of Clustering Data Mining Technique.
    9. Prof. V. B. Nikam, VikiPatil: Study of Data Mining algorithm in cloud computing using Map Reduce Framework Journal of Engi-neering, Computers &Applied Sciences (JEC&AS) Volume 2, No.7, July2013.
    10. Jeffrey Voasand JiaZhang, ―Cloud Computing: New Wine or Just a New Bottle? ‖, Database Systems Journal vol. III, no. 3/2012 71IEEEInternet Computing Magazine.
    11. Yudho Giri Sucahyo, Ph. D, CISA: Introduction to Data Mining and Business Intellegence.
    12. Mansigera, Shivanigoel,” Data Mining- Techniques, methods and Algorithms: A review on tools and their Validity”, International Journal of Computer Application, Vol 113, No. 18, March 2015.
    13. TapasKanungo, Nathan S. Netanyahu, AngelaY. Wu: An Effi-cient k-Means Clustering Algorithm: Analysis and Implementation, ieee transactions on pattern analysis and ma-chine intelligence, vol. 24, no. 7, july2002.
    14. Prof. V. B. Nikam, VikiPatil: Study of Data Mining algorithm in cloud computing using Map Reduce Framework.
    15. XiaGeng, ZhiYang: Data Mining in Cloud Computing, Inter-national Conference on Information Science and Computer Applications (IS-CA 2013).
    16. PeterMell, Timothy Grance: The NIST Definition of Cloud Compu-ting, U. S. Department of Commerce, Special Publication 800-145.
    17. D. Taliaand P. Trunfio, How distributed data mining tasks can thrive as knowledge services Communications of the ACM. 53(2010)132-137. https://doi.org/10.1145/1785414.1785451.

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  • How to Cite

    Rajamani, K., & Sheela, D. (2018). Data mining techniques and algorithms in cloud environment a review. International Journal of Engineering and Technology, 7(1.9), 265-267. https://doi.org/10.14419/ijet.v7i1.9.10010