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£111 today · previous high £111 · all-time low £108
Springer Rough Set Theory: A True Landmark in Data Analysis - Volume 174
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Description
Key Features
Part 1 provides comprehensive theoretical contributions establishing the mathematical foundations of rough set theory for advanced study and research applications.
Parts 2 and 3 deliver practical real-world data mining applications demonstrating rough set methodology across multiple industry sectors and problem domains.
The volume explores topological aspects of rough set theory alongside contemporary research developments in the field.
Published by Springer as volume 174 in the Studies in Computational Intelligence series, ensuring peer-reviewed academic quality and scholarly credibility.
Designed for researchers, practitioners and academics seeking sound methodologies for dealing with imperfect knowledge in data analysis projects.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3642100627
- Domain
- Amazon UK
- Release Date
- 28 October 2010
- Listed Since
- 28 December 2010
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