Data mining : practical machine learning tools and techniques /
Witten, I. H.,
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. .
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.
0120884070 9780120884070
2005043385
Veri madenciliği
Data mining
QA76.9.D343 / W58 2005
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. .
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.
0120884070 9780120884070
2005043385
Veri madenciliği
Data mining
QA76.9.D343 / W58 2005
