Rough Sets and Data Mining: Analysis of Imprecise Data

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An edited collection of research on the most recent developments in rough set theory and data mining, the chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. This text should be a useful reference work for rough set researchers, database designers and developers, and for researchers new to the areas of data mining and rough sets.