Knowledge Discovery and  Data  Mining 

       The Info-Fuzzy Network (IFN) Methodology

                    Oded  Maimon   and    Mark  Last 

KLUWER  ACADEMIC PUBLISHERS, December 2000:

Kluwer:       http://www.wkap.nl/prod/b/0-7923-6647-6

Amazon.com:      Click Here  


Book Profile

 KNOWLEDGE DISCOVERY and DATA MINING presents a unified approach to Knowledge Discovery and Data Mining, termed   IFN for   Information Fuzzy  Network. The IFN methodology handles selection of the most relevant features extraction of informative rules and patterns, and post-processing of the extracted knowledge.  This book provides detailed description of the IFN algorithms and discusses  real-world case studies from  several application domains including manufacturing, process engineering, health care, and education. In addition, the book describes methodology of application and compares the IFN performance to other data mining methods.

KNOWLEDGE DISCOVERY and DATA MINING is intended to be used by researchers in the fields of information systems, engineering, computer science, statistics, and management who are searching for a unified theoretical approach to the knowledge discovery process. The book can also serve as a reference book for courses on data mining, machine learning, and databases.        

                   IFN (info-fuzzy Network) - THE SOFTWARE (ver 1.4) 

TABLE  OF CONTENTS

PREFACE    

 

Contact Information

          Prof. Oded Maimon   -   Tel Aviv University, Israel

                                                 Electronic-mail: maimon@eng.tau.ac.il

                                                                         Author's Home Page:

                                                                                                              http://www.eng.tau.ac.il/~maimon/

            Dr. Mark Last  - Ben-Gurion University of the Negev, Israel and University of

                                     South Florida, USA

                                                          Electronic-mail: mlast@bgumail.bgu.ac.il

                                                  Author's Home Page:

                                                                                                            http://www.ise.bgu.ac.il/faculty/mlast

                                                                                                            http//www.csee.usf.edu/~mlast

  Webmaster:     danyc@post.tau.ac.il

 

Last updated: Monday, February 4, 2003