Witten, I. H., <br/><br/>
Data mining :  practical machine learning tools and techniques / 
Ian H. Witten, Eibe Frank. 
 - 2nd ed. 
 - xxxi, 525 p. :  ill. ;  24 cm. 
 - Morgan Kaufmann series in data management systems. .
<br/><br/>
<br/><br/>Pt. I. Machine learning tools and techniques. What's it all about? -- Input : concepts, instances, and attributes -- Output : knowledge representation -- Algorithms : the basic methods -- Credibility : evaluating what's been learned -- Implementations : real machine learning schemes -- Transformations : engineering the input and output -- Moving on : extensions and applications -- Pt. II. The Weka machine learning workbench. Introduction to Weka -- The Explorer -- The Knowledge Flow interface -- The Experimenter -- The command-line interface -- Embedded machine learning -- Writing new learning schemes. 
<br/><br/><label>ISBN: </label>0120884070 9780120884070 
<br/><br/><label>LCCN: </label>2005043385 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Veri madenciliği<br/>Data mining
<br/><br/><label>LC Class. No.: </label>QA76.9.D343  / W58 2005