PAPER ID:IJIM/V.2(IX)/12-14/3

AUTHOR:Shivali Gupta and Arun Gupta


ABSTRACT:This paper describes a number of important visual data mining issues and introduces techniques employed to improve the understandability of the results of data mining. Firstly, the visualization of data prior to, and during, data mining is addressed. Through data visualization, the quality of data can be assessed throughout the knowledge discovery process. Secondly, information visualization is discussed, i.e. how the knowledge, as discovered by a data mining tool, may be visualized throughout the data mining process. In addition, the paper shows how virtual reality and collaborative virtual environments may be used to obtain an immersive perspective of the data and the data mining process.

KEYWORDS:Data Mining, Data Visualization, Information Visualization, Virtual Reality, Visual Data Mining

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