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Knowledge Extraction from Information System Using Rough Computing

Knowledge Extraction from Information System Using Rough Computing

D. P. Acharjya
Copyright: © 2015 |Pages: 22
ISBN13: 9781466685130|ISBN10: 1466685131|EISBN13: 9781466685147
DOI: 10.4018/978-1-4666-8513-0.ch009
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MLA

Acharjya, D. P. "Knowledge Extraction from Information System Using Rough Computing." Improving Knowledge Discovery through the Integration of Data Mining Techniques, edited by Muhammad Usman, IGI Global, 2015, pp. 161-182. https://doi.org/10.4018/978-1-4666-8513-0.ch009

APA

Acharjya, D. P. (2015). Knowledge Extraction from Information System Using Rough Computing. In M. Usman (Ed.), Improving Knowledge Discovery through the Integration of Data Mining Techniques (pp. 161-182). IGI Global. https://doi.org/10.4018/978-1-4666-8513-0.ch009

Chicago

Acharjya, D. P. "Knowledge Extraction from Information System Using Rough Computing." In Improving Knowledge Discovery through the Integration of Data Mining Techniques, edited by Muhammad Usman, 161-182. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8513-0.ch009

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Abstract

The amount of data collected across various sources in real life situations is never in its complete form. That is, it is never precise or it never gives definite knowledge. It always contains uncertainty and vagueness. Therefore, most of our traditional tools for formal modelling, reasoning and computing can not handle efficiently. Therefore, it is very challenging to organize this data in formal system which provides information in more relevant, useful, and structured manner. There are many techniques available for knowledge extraction form this high dimensional data. This chapter discusses various rough computing based knowledge extraction techniques to obtain meaningful knowledge from large amount of data. A real life example is provided to show the viability of the proposed research.

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