TY  - GEN
AU  - Witten, I. H.,
AU  - Frank, Eibe
TI  - Data mining: practical machine learning tools and techniques 
T2  - Morgan Kaufmann series in data management systems
SN  - 0120884070
AV  - QA76.9.D343 W58 2005
PY  - 2005///
CY  - Amsterdam, Boston, MA
PB  - Morgan Kaufman
KW  - Veri madenciliği
KW  - etuturkob
KW  - Data mining
N1  - Includes bibliographical references (p. 485-503) and index; 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
ER  -