Compressive Study on Data Mining Methods in Cloud Computing

Authors(2) :-Achi Sandeep, K Gurnadha Guptha

Data mining is the technique to find out previously unknown relationship and new patterns in big data, which even can predict for future decisions by the use of some helpful algorithms and techniques like clustering, classification, association, regression etc. Cloud computing is delivering software, platform and infrastructure as a service over the internet and customer can access these from a remote area. Rapid development of internet and increase in commerce allows the firms to safe guard, store, retrieve and analysis of their data through cloud services with data mining. Data mining in cloud computing is the process of finding structured information from web data sources which might be unstructured or semi-structured.

Authors and Affiliations

Achi Sandeep
Assistant Professor, CSE Department, Sri Indu College of Engineering and Technology, JNTU Hyderabad, Hyderabad, India
K Gurnadha Guptha
Assistant Professor, CSE Department, Sri Indu College of Engineering and Technology, JNTU Hyderabad, Hyderabad, India

Data Mining; Cloud Computing; Data Mining Techniques; Clustering; BC-PDM, PD miner, ESOM-Maps

  1. Prof. Mr. A. Srinivas, M. Kalyan Srinivas, A.V.R.K.Harsha Vardhan Varma:A Study On Cloud Computing Data Mining,International Journal of Innovative Research in Computer and Communication Engineering, July 2013
  2. Ritu Chauhan,Harleen Kaur, M.Afshar Alam:Data Clustering Method for Discovering Clusters in Spatial Cancer Databases,International Journal of Computer Applications (0975 8887), November 2010
  3. Ruxandra-?tefania PETRE,Data mining in Cloud Computing :Database Systems Journal vol. III, no. 3/2012
  4. Bhagyashree Ambulkar,Vaishali Borkar:Data mining in Cloud Computing,MPGI National Multi Conference 2012 (MPGINMC-2012),7-8 April 2012
  5. Astha Pareek, Manish Gupta:Review of Data Mining Techniques in Cloud Computing Database,International Journal of Advanced Computer Research,Volume-2 Number-2 Issue-4 June-2012
  6. Prof. V. B. Nikam, Viki Patil:Study of Data Mining algorithm in cloud computing using MapReduce Framework Journal of Engineering, Computers & Applied Sciences (JEC&AS) Vol ume 2, No.7, July 2013
  7. Pavel Berkhin, Accrue Software, 1045 Forest Knoll Dr., San Jose, CA, 95129:Survey of Clustering Data Mining Technique
  8. Jeffrey Voas and Jia Zhang, ?Cloud Computing: New Wine or Just a NewBottle??, Database Systems Journal vol. III, no. 3/2012 71 IEEE Internet Computing Magazine, 200
  9. Yudho Giri Sucahyo, Ph.D, CISA:Introduction to Data Mining and Business Intellegence
  10. Tapas Kanungo,Nathan S. Netanyahu, Angela Y. Wu:An Efficient k-Means Clustering Algorithm:Analysis and Implementation, ieee transactions on pattern analysis and machine intelligence, vol. 24, no. 7, july 2002
  11. Xia Geng1,a,Zhi Yang2,b:Data Mining in Cloud Computing, International Conference on Information Science and Computer Applications (ISCA 2013)
  12. Peter Mell, Timothy Grance:The NIST Definition of Cloud Computing,U.S. Department of Commerce, Special Publication 800-145
  13. D. Talia and P. Trunfio, How distributed data mining tasks can thrive as knowledge services Communications of the ACM. 53(2010) 132-137
  14. Boniface, M.; et al. (2010), ?Platform-as-a-Service Architecture for Real-Time Quality of Service Management in Clouds?, 5th InternationalConference on Internet and Web Applications and Services (ICIW), Barcelona, Spain: IEEE, pp. 155160.
  15. L. Yu, J. Zheng, W. C. Shen, B. Wu, B. Wang, L. Qian, B. R. Zhang, BC-PDM: data mining, social network analysis and text mining system based on cloud computing, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. (2012) 1496-1499
  16. Jain, A.K., Murty M.N., and Flynn P.J. (1999): Data Clustering: A Review
  17. L. Kaufinan, and P.J. Rousseeuw, Finding Groups in Data: an Introduction to Cluster Analysis, John Wiley & Sons1990.
  18. M. S. Chen, J. Han, and P. S. Yu. Data mining: an overview from database perspective. IEEE Trans. On Knowledge and Data Engineering, 5(1):866883, Dec.1996
  19. Muhammad Husnain Zafar, and Muhammad Ilyas: A Clustering Based Study of Classification Algorithms, International Journal of Database Theory and Application, Vol.8, No.1 (2015), pp.11-22
  20. Yogita Rani, Dr. Harish Rohil: A Study of Hierarchical Clustering Algorithm, International Journal of Information and Computation Technology, Volume 3, Number 11 (2013), pp. 1325-123

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 753-758
Manuscript Number : CSEIT1726213
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Achi Sandeep, K Gurnadha Guptha, "Compressive Study on Data Mining Methods in Cloud Computing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.753-758, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726213

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