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A Novel Data Mining Algorithm for Semantic Web Based Data Cloud
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International Journal of Computer Science and Security (IJCSS)
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Volume:  4    Issue:  2
Pages:  149-264
Publication Date:   May 2010
ISSN (Online): 1985-1553
Pages 
160 - 175
Author(s)  
N.C.Mahanti - India
kanhaiya lal - India
 
Published Date   
10-06-2010 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
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Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   data mining, Cloud, Web 
 
 
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By a cloud, we mean an infrastructure that provides resources and/or services over the Internet. A storage cloud provides storage services, while a compute cloud provides compute services. We describe the design of the Sector storage cloud and how it provides the storage services required by the Sphere compute cloud. Different efforts have been made to address the problem of data mining in the cloud framework. In this paper we propose an algorithm to mine the data from the cloud using sector/sphere framework and association rules. We also describe the programming paradigm supported by the Sphere compute cloud. Sector and Sphere are designed for analyzing large data sets using computer clusters connected with wide area high performance networks 
 
 
 
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8 Yunhong Gu and Robert L. Grossman. “UDT: UDP-based data transfer for high-speed wide area networks”. Computer Networks, 51(7):1777—1799, 2007.
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13 Yunhong Gu and Robert L. Grossman. “UDT: UDP-based data transfer for high-speed wide area networks”. Computer Networks, 51(7):1777—1799, 2007.
14 Robert L. Grossman and Yunhong Gu “Data Mining using high performance data clouds: Experimental Studies using Sector and Sphere”. Retrieved from http://sector.sourceforge.net/pub/grossman-gu-ncdm-tr-08-04.pdf.
15 ZouLi & LiangXu, “Mining Association Rules in Distributed System”, First International Workshop on Education Technology and Computer Science,. IEEE, 2009.
16 A. Rosenthal et al. “Cloud computing: A new business paradigm for Biomedical information sharing “Journal of Biomedical Informatics, Elsevier ,43 (2010) 342–353 343.
17 G. Stumme et al. “Web Semantics: Science, Services and Agents on the World Wide Web”, Journal of WEB Semantics, Elsevier, 4 (2006) 124–143.
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N.C.Mahanti : Colleagues
kanhaiya lal : Colleagues  
 
 
 
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