Maimon, Odd  <br/><br/>
The Data Mining and Knowledge Discovery Handbook 

 - New Delhi :  Springer,  2009. 
 - ill.;  1383 pages :  24 cm. 
<br/><br/> Part I Preprocessing methods.-  Part II Supervised methods.-  Part III Unsupervised methods.-   Part IV Soft computing methods.-  Part V Supporting methods.-   Part VI Advanced methods.-  Part VII Applications.-  Part VIII Software.-  
<br/><br/> Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository." "Data Mining and Knowledge Discovery Handboook is designer for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management. 
<br/><br/><label>ISBN: </label>9788184891393 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining<br/>Knowledge acquisition (Expert systems)<br/>Computer science<br/>Database management<br/>Information storage and retrieval systems<br/>Artificial intelligence<br/>Multimedia systems<br/>Computer networks
<br/><br/><label>Dewey Class. No.: </label>006.312  / MAI