Witten, Ian H. <br/><br/>
Data mining :  practical machine learning tools and techniques / 
Ian H. Witten, Eibe Frank 
 - 2nd. ed. 
 - Amsterdam :  Morgan Kaufmann :  Elsevier,  cop. 2005 
 - xxxi, 525 P. :  ill., diagr., tab.) 
 - The Morgan Kaufmann series in data management systems, .
<br/><br/>What’s It All About? (Page-3), Input: Concepts, Instances, Attributes (Page-41), Output: Knowledge Representation (Page-61), Algorithms: The Basic Methods (Page-83), Credibility: Evaluating What’s Been Learned(Page-143), Implementations: Real Machine Learning Schemes (Page-187), Transformations: Engineering The Input And Output(Page-285), Moving On: Extensions And Applications.Part II: The Weka Machine Learning Workbench(Page- 363), Introduction To Weka (Page-365) The Explorer(Page-369), The Knowledge Flow Interface (Page-427), The Experimenter (Page-437),  The Command-Line Interface (Page-449),  Embedded Machine Learning (Page-461), Writing New Learning Schemes (Page-471). 
<br/><br/><label>ISBN: </label>008047702X 9780080477022 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence
<br/><br/><label>Dewey Class. No.: </label>006.3,WIT