The book ‘Rough-Granular Computing in Knowledge Discovery and Data Mining’ written by Professor Jaroslaw Stepaniuk is dedicated to methods based on a combination of the following three closely related and rapidly growing areas: granular computing, rough sets, and knowledge discovery and data mining (KDD). In the book, the KDD foundations based on the rough set approach and granular computing are discussed together with illustrative applications. In searching for relevant patterns or in inducing (constructing) classifiers in KDD, different kinds of granules are modeled. In this modeling process, granules called approximation spaces play a special rule. Approximation spaces are defined by neighborhoods of objects and measures between sets of objects. In the book, the author underlines the importance of approximation spaces in searching for relevant patterns and other granules on dfferent levels of modeling for compound concept approximations Presents recent research in Rough - Granular Computing in Knowledge Discovery and Data Mining INDICE: Part I Rough Set Methodology.- Part II Classiffcation and Clustering.- Part III Complex Data and Complex Concepts.- Part IV Conclusions, Bibliography and Further Readings.
- ISBN: 978-3-540-70800-1
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 158
- Fecha Publicación: 01/09/2008
- Nº Volúmenes: 1
- Idioma: Inglés