This issue of the International Journal of Intelligent Systems presents approaches to knowledge discovery based on rough set theory. [1][2][3][4][5][6][7][8] It is often the case that there are imperfections in raw input data needed for knowledge acquisition: uncertainty, vagueness, and incompletene
Rough set data analysis: A road to non-invasive knowledge discovery
β Scribed by Ivo Duntsch, Gunther Gediga
- Book ID
- 127447992
- Publisher
- Methodos Publishers (UK)
- Year
- 2000
- Tongue
- English
- Weight
- 1 MB
- Series
- Methodos Primers
- Category
- Library
- ISBN
- 190328001X
No coin nor oath required. For personal study only.
β¦ Synopsis
This is not the first book on rough set analysis and certainly not the first book on knowledge discovery algorithms, but it is the first attempt to do this in a non-invasive way. In this book the authors present an overview of the work they have done in the past seven years on the foundations and details of data analysis. It is a look at data analysis from many different angles, and the authors try not to be biased for - or against - any particular method. This book reports the ideas of the authors, but many citations of papers on Rough Set Data Analysis in knowledge discovery by other research groups are included as well.
π SIMILAR VOLUMES
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to re