Distributed Data Mining Cloud Based System
DOI:
https://doi.org/10.37591/joosdt.v5i3.1929Abstract
When traditional data mining systems are used for cloud computing, there are performance bottlenecks and scalability difficulties. In this study, it states that a data mining platform is directly based on the cloud computing. As compared with the traditional data mining systems, the platform is highly scalable, with massive data processing capabilities, service-oriented and low hardware costs. The platform can support the design and application of various distributed data mining systems.
Keywords: Data mining, cloud computing, distributed system, big data and hadoop
Cite this Article
Sonia Bhargava. Distributed Data Mining Cloud Based System. Journal of Operating Systems Development & Trends. 2018; 5(3): 10–14p.
References
Evaluation of Cloud Computing Services Based on NIST SP 800–145: https://
nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.500-322.pdf
The NIST Definition of Cloud Computing:
https://csrc.nist.gov/publications/detail/sp/800-145/final
Voas J, Zhang J. Cloud Computing: New Wine or Just a New Database Systems. IEEE Internet Computing Magazine. 2009; 3: 13p.
Mell P, Grance T. The NIST Definition of Cloud Computing. The National Institute of Standards and Technology, USA, 2011; Link: http://csrc.nist.gov/publications/
nistpu bs/800-145/SP800–145.pdf.
Choosing the Right Cloud Service: IaaS, PaaS, or SaaS: https://rubygarage.
org/blog/iaas-vs-paas-vs-saas
IT Strategists. Top Cloud Computing Companies and Key Features. Link: http://www.itstrategists.com/TopCloud-Computing-Companies.aspx.
Ambulkar B, Borkar V. Data Mining in Cloud Computing. MPGI National Multi Conference April 2012; Link: http://
research.ijcaonline.org/ncrtc/numb er6/mpginmc1047.pdf.
He H, Xiao-dong Yi, Shan-shan Li. Realization and evaluation of massive data processing platform for high performance computer. Research and Development of Computer. 2012; 49:357–361p.
Downloads
Published
Issue
Section
License
Declaration and Copyright Transfer Form
(to be completed by authors)
I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.
- I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
- I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
- I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
- I/We also agree to the authorship of the article in the following order:
Author’s name
1. ________________
2. ________________
3. ________________
4. ________________
| We Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal. |