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Classification Rules Mining Model with Genetic Algorithm in Cloud Computing

by Jing Ding, Shanlin Yang
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 18
Year of Publication: 2012
Authors: Jing Ding, Shanlin Yang
10.5120/7449-0457

Jing Ding, Shanlin Yang . Classification Rules Mining Model with Genetic Algorithm in Cloud Computing. International Journal of Computer Applications. 48, 18 ( June 2012), 24-32. DOI=10.5120/7449-0457

@article{ 10.5120/7449-0457,
author = { Jing Ding, Shanlin Yang },
title = { Classification Rules Mining Model with Genetic Algorithm in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 18 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 24-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number18/7449-0457/ },
doi = { 10.5120/7449-0457 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:44:25.901289+05:30
%A Jing Ding
%A Shanlin Yang
%T Classification Rules Mining Model with Genetic Algorithm in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 18
%P 24-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is a good platform for research and application of data mining, for the reason that it provides powerful capacities of storage and computing, excellent resource management based on virtualization and resource sharing model, and comprehensive service system. However, investigation on data mining in cloud computing environment is still in its infancy. In this paper, solvent of classification rules mining with resources in cloud is developed, and an innovative classification rules mining model with genetic algorithm in cloud computing is proposed considering characteristics of cloud computing. An illustrative example is analyzed to show feasibility and effectiveness of the suggested model.

References
  1. Keahey, K. , Figueiredo, R. , Fortes J. , Freeman, T. , and Tsugawa, M. 2008. "Science Clouds: Early Experiences in Cloud Computing for Scientific Applications". In Proceeding of High Performance Computing and Communications.
  2. Buyya, R. , Yeo, C. S. , Venugopal, S. , Broberg, J. , and Brandic, I. "Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility", Future Generation Computer Systems, 25(6), pp. 599-616, 2009.
  3. Park, B. H. , and Kargupta, H. 2002. "Distributed data mining: algorithms, systems, and applications", Data Mining Handbook. .
  4. Cannataro, M. , Talia, D. , and Trunfio, P. 2002. "Distributed data mining on the grid", Future Generation Computer Systems, 18, 1101-1112.
  5. Lin, K. W. , and Luo Y. C. 2009. "A fast parallel algorithm for discovering frequent patterns". In Proceeding of IEEE International Conference on Granular Computing.
  6. Sakr, S. , Liu, A. , Batista, D. M. , and Alomari, M. 2011. "A survey of large scale data management appproaches in cloud environments", IEEE Communications Surveys & Tutorials, 13(3), 311-336.
  7. Agrawal, D. , Abbadi, A. E. , Antony, S. , and Das, S. 2010. "Data management challenges in cloud computing infrastructures", Databases in Network Information Systems, 5999, 1-10.
  8. Pandey, S. , Voorsluys, W. , Niu, S. , Khandoker, A. , and Buyya, R. 2012. "An autonomic cloud environment for hosting ECG data analysis services", Future Generation Computer Systems, 28(1), 147-154.
  9. Wang, J. , Wan, J. , Liu, Z. , and Wang, P. 2010. "Data mining of mass storage based on cloud computing". In Proceeding of 2010 Ninth International Conference on Grid and Cloud Computing.
  10. Wang, E. , and Li, M. 2009. "Research on mass data mining under cloud computing", Modern Computer, 22-25.
  11. Bedra, A. 2010. "Getting started with Google App Engine and Clojure", Internet Computing, 14, 85-88.
  12. Wang, L. , Tao, J. , Kunze, M. , Castellanos, A. C. , Kramer, D. , and Karl, W. 2008. "Scientific cloud computing: early definition and experience". In Proceeding of the 10th IEEE International Conference on High Performance Computing and Communications.
  13. Grossman, R. L. , Gu, Y. , Sabala, M. , and Zhang, W. 2009. "Compute and storage clouds using wide area high performance network", Future Generation Computer Systems, 25, 179-183.
  14. Freitas, A. A. 2002. "A survey of evolutionary algorithms for data mining and knowledge discovery", Advances in Evolutionary Computation, 819-845.
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Cloud Computing Classification Genetic Algorithm

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