
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
Computational and Inferential Thinking: The Foundations of Data Scienceby Ani Adhikari, John DeNero
Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning ...
(12759 views)
Introduction to Soft Computingby Eva Volna - Bookboon
This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making.
(11785 views)
Handbook of Knowledge Representationby Frank van Harmelen, Vladimir Lifschitz, Bruce Porter - Elsevier Science
Knowledge Representation is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation.
(15001 views)
Delftse Foundations of Computationby Stefan Hugtenburg, Neil Yorke-Smith - TU Delft Open
This is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to CS.
(8959 views)