DM: new book on parallel data mining

[alex@dainf.cefetpr.br (Alex Alves Freitas) (by way of Dorothy Firsching )]

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  Dr. Alex Alves Freitas                   
  CEFET-PR, Dep. de Informatica (DAINF)   
  Av. Sete de Setembro, 3165             
  Curitiba - PR   80230-901             
  BRASIL                               
  Tel: ++55 +41 322-4544 ext. 648
  Fax: ++55 +41 224-5170
  E-mail: alex@dainf.cefetpr.br
  URL: http://www.dainf.cefetpr.br/~alex
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     KLUWER ACADEMIC PUBLISHERS IS PROUD TO ANNOUNCE THE PUBLICATION 
OF...
     
                MINING VERY LARGE DATABASES WITH PARALLEL PROCESSING 
                                        by 
                Alex A. Freitas, CEFET-PR, Dep. de Informatica, 
BRAZIL    
                       Simon H. Lavington, University of Essex, UK
     
     MINING VERY LARGE DATABASES WITH PARALLEL PROCESSING addresses 
the 
     problem of large-scale data mining.  It is an interdisciplinary 
text, 
     describing advances in the integration of three computer science 
areas: 
     - "intelligent" (machine learning-based) data mining techniques; 
     -  relational databases;
     -  and parallel processing.
     
   The basic idea is to use concepts and techniques of the latter two 
areas - 
   particularly parallel processing - to speed up and scale up data 
mining 
   algorithms.  Included are:
     ·  a comprehensive review of intelligent data mining techniques, 
such as 
     rule induction, instance-based learning, neural networks and 
genetic 
     algorithms
     ·  a comprehensive review of parallel processing and parallel 
databases  
     ·  an overview of commercially-available, state-of-the-art tools 
 
     ·  the application of parallel processing to data mining  
     ·  cost-effective solutions for realistic data volume 
     ·  a discussion of two parallel computational environments 
     
     This volume will be a valuable source to industry data miners 
and 
     practitioners in applying intelligent data mining techniques to 
large 
     amounts of data.  In addition, this book will be useful to 
academic 
     researchers and postgraduate students interested in advanced, 
     intelligent database applications and artificial intelligence 
     researchers interested in industrial real-world applications of 
     machine learning.
     
     TABLE OF CONTENTS
     Preface.  Acknowledgments.  Introduction.  Part I:  Knowledge 
     Discovery and Data Mining.  1.  Knowledge Discovery Tasks. 2.  
     Knowledge Discovery Paradigms.  3.  The Knowledge Discovery 
Process.  
     4.  Data Mining.  5.  Data Mining Tools.  Part II:  Parallel 
Database 
     Systems.  6.  Basic Concepts on Parallel Processing.  7.  Data 
     Parallelism, Control Parallelism and Related Issues.  8.  
Parallel 
     Database Servers.  Part III: Parallel Data Mining.  9.  
Approaches to 
     Speed Up Data Mining.  10.  Parallel Data Mining Without DBMS 
     Facilities.  11.  Parallel Data Mining with Database Facilities. 
 12.  

     Summary and Some Open Problems.  References.  Index.  
     
     1998    224 pp.      ISBN 0-7923-8048-7     $105.00
     
     FOR MORE INFORMATION ABOUT THIS PUBLICATION, PLEASE VISIT OUR 
     On-line Catalogue at: http://www.wkap.nl
     
     or contact us at:
     
     Kluwer Academic Publishers
     101 Philip Drive
     Norwell, Ma. 02061
     Phone: 781-871-6600, Fax: (781) 871-6528 E-mail: kluwer@wkap.com
     
     Kluwer Academic Publishers
     P. O. Box 322
     3300 AH Dordrecht, The Netherlands
     Phone 31 78 639 2392, Fax: 31 78 6546474 E-mail: services@wkap.nl