Rough Sets and Data Mining
Subtitle: Analysis of Imprecise Data
Contributors: T.Y. Lin (Editor); N. Cercone (Editor)
Edition: 1 edition
Publisher: Springer
Published: November 30, 1996
Language: eng
Format: Hardcover
Number of pages: 452
ISBN-13: 9780792398073
Subjects: Artificial intelligence; Databases & data structures; Science/Mathematics; Database Management - General; Database Engineering; Set Theory; Computers; Computers - General Information; Rough sets; Machine learning; Database management; Artificial Intelligence - General; Computers / Artificial Intelligence; Computers-Database Management - General; Computer Bks - General Information; Database searching
Description: Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters 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 can be used for mining data bases.

Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets.