Rough Sets, Fuzzy Sets and Knowledge Discovery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rough Sets, Fuzzy Sets and Knowledge Discovery write by Wojciech P. Ziarko. This book was released on 2012-12-06. Rough Sets, Fuzzy Sets and Knowledge Discovery available in PDF, EPUB and Kindle. The objective of this book is two-fold. Firstly, it is aimed at bringing to gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzzy sets, machine learning, management of uncertainty and systems of logic for formal reasoning about knowledge. Applications of rough sets in different areas such as medicine, logic design, image processing and expert systems are also represented. The articles included in the book are based on selected papers presented at the International Workshop on Rough Sets and Knowledge Discovery held in Banff, Canada in 1993. The primary methodological approach emphasized in the book is the mathematical theory of rough sets, a relatively new branch of mathematics concerned with the modeling and analysis of classification problems with imprecise, uncertain, or incomplete information. The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including knowledge discovery, machine learning, formal reasoning in the presence of uncertainty, knowledge acquisition, and others. This spectrum of applications is reflected in this book where articles, although centered around knowledge discovery problems, touch a number of related issues. The book is intended to provide an important reference material for students, researchers, and developers working in the areas of knowledge discovery, machine learning, reasoning with uncertainty, adaptive expert systems, and pattern classification.
Rough – Granular Computing in Knowledge Discovery and Data Mining
Rough – Granular Computing in Knowledge Discovery and Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rough – Granular Computing in Knowledge Discovery and Data Mining write by J. Stepaniuk. This book was released on 2009-01-29. Rough – Granular Computing in Knowledge Discovery and Data Mining available in PDF, EPUB and Kindle. This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications.
Rough Sets in Knowledge Discovery 2
Rough Sets in Knowledge Discovery 2 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rough Sets in Knowledge Discovery 2 write by Lech Polkowski. This book was released on 1998-08-20. Rough Sets in Knowledge Discovery 2 available in PDF, EPUB and Kindle. The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.
Transactions on Rough Sets II
Transactions on Rough Sets II - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Transactions on Rough Sets II write by James F. Peters. This book was released on 2004-11-29. Transactions on Rough Sets II available in PDF, EPUB and Kindle. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting 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 relations between rough sets and other approaches to uncertainty, vagueness and incompleteness, such as fuzzy sets and theory of evidence. This second volume of the Transactions on Rough Sets presents 17 thoroughly reviewed revised papers devoted to rough set theory, fuzzy set theory; these papers highlight important aspects of these theories, their interrelation and application in various fields.
Incomplete Information: Rough Set Analysis
Incomplete Information: Rough Set Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Incomplete Information: Rough Set Analysis write by Ewa Orlowska. This book was released on 2013-03-14. Incomplete Information: Rough Set Analysis available in PDF, EPUB and Kindle. In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.
