Title: Improving the efficiency and effectiveness of virtual reality by data mining management

Authors: Shao-Shin Hung, Damon Shing-Min Liu

Addresses: Department of Computer Science and Information Engineering, National Chung Cheng University, No. 168, University Road, Min-Hsiung Chiayi, Taiwan 621, ROC. ' Department of Computer Science and Information Engineering, National Chung Cheng University, No. 168, University Road, Min-Hsiung Chiayi, Taiwan 621, ROC

Abstract: Data mining techniques provide people with new power to research and manipulate the existing large volume of data. A data mining process discovers interesting information from the hidden data that can either be used for future prediction and/or intelligently summarising the details of the data. There are many achievements of applying data mining techniques to various areas such as marketing, medical, decision support, flaw detection, business management and financial, although few of them can be currently seen in virtual reality domain. In this paper, a proposed data mining application in virtual reality is explained and experimented. The empirical results demonstrate the capability of data mining techniques in virtual reality and the potential benefits in applying data mining to this area.

Keywords: virtual reality; data mining; pattern mining; clustering; prefetching; pattern growth; knowledge management; intelligent enterprise; coal fired power plants.

DOI: 10.1504/IJIE.2007.013808

International Journal of Intelligent Enterprise, 2007 Vol.1 No.1, pp.23 - 44

Published online: 28 May 2007 *

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