Rough set data analysis: A road to non-invasive knowledge discovery
by Ivo Düntsch, Günther Gediga
Publisher: Methodos Publishers (UK) 2000
ISBN/ASIN: 190328001X
ISBN-13: 9781903280010
Number of pages: 108
Description:
This is not the first book on rough set analysis and certainly not the first book on knowledge discovery algorithms, but it is the first attempt to do this in a non-invasive way. In this book the authors present an overview of the work they have done in the past seven years on the foundations and details of data analysis. It is a look at data analysis from many different angles, and the authors try not to be biased for - or against - any particular method. This book reports the ideas of the authors, but many citations of papers on Rough Set Data Analysis in knowledge discovery by other research groups are included as well.
Download or read it online for free here:
Download link
(1.1MB, PDF)
Similar books

by Carol Critchlow, David Eck - Hobart and William Smith Colleges
The book covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers automata, formal languages, and grammar that would ordinarily be encountered in an upper level course.
(16151 views)

by Stephen Wolfram - Wolfram Media
Starting from a collection of simple computer experiments -- illustrated in the book by striking computer graphics -- Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe.
(14637 views)

by Margaret M. Fleck - University of Illinois, Urbana-Champaign
This book provides a survey of basic mathematical objects, notation, and techniques useful in later computer science courses. It gives a brief introduction to some key topics: algorithm analysis and complexity, automata theory, and computability.
(13068 views)

by Lawrence C Paulson - University of Cambridge
This text teaches programming and presents some fundamental principles of computer science, especially algorithm design. The programming in this course is based on the language ML and mostly concerns the functional programming style.
(24714 views)