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http://dx.doi.org/10.9708/jksci.2011.16.8.001

Data processing techniques applying data mining based on enterprise cloud computing  

Kang, In-Seong (Dept. of Information Management Engineering, Korea University)
Kim, Tae-Ho (Dept. of Information Management Engineering, Korea University)
Lee, Hong-Chul (Dept. of Industrial Management Engineering, Korea University)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.8, 2011 , pp. 1-10 More about this Journal
Abstract
Recently, cloud computing which has provided enabling convenience that users can connect from anywhere and user friendly environment that offers on-demand network access to a shared pool of configurable computing resources such as smart-phones, net-books and PDA etc, is to be watched as a service that leads the digital revolution. Now, when business practices between departments being integrated through a cooperating system such as cloud computing, data streaming between departments is getting enormous and then it is inevitably necessary to find the solution that person in charge and find data they need. In previous studies the clustering simplifies the search process, but in this paper, it applies Hash Function to remove the de-duplicates in large amount of data in business firms. Also, it applies Bayesian Network of data mining for classifying the respect data and presents handling cloud computing based data. This system features improved search performance as well as the results Compared with conventional methods and CPU, Network Bandwidth Usage in such an efficient system performance is achieved.
Keywords
Cloud computing; Hash function; Bayesian network;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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