Format:
XXXIII, 629 S. :
,
Ill., graph. Darst.
Edition:
3. ed.
ISBN:
978-0-12-374856-0
,
0-12-374856-9
Series Statement:
The Morgan Kaufmann series in data management systems
Content:
Contents: Part I. Machine Learning Tools and Techniques: 1. What's iIt all about?; 2. Input: concepts, instances, and attributes; 3. Output: knowledge representation; 4. Algorithms: the basic methods; 5. Credibility: evaluating what's been learned -- Part II. Advanced Data Mining: 6. Implementations: real machine learning schemes; 7. Data transformation; 8. Ensemble learning; 9. Moving on: applications and beyond -- Part III. The Weka Data MiningWorkbench: 10. Introduction to Weka; 11. The explorer -- 12. The knowledge flow interface; 13. The experimenter; 14 The command-line interface; 15. Embedded machine learning; 16. Writing new learning schemes; 17. Tutorial exercises for the weka explorer.
Note:
Hier auch später erschienene, unveränderte Nachdrucke
Additional Edition:
Erscheint auch als Online-Ausgabe ISBN 978-0-08-089036-4
Language:
English
Subjects:
Computer Science
,
Economics
,
Psychology
,
Mathematics
Keywords:
Data Mining
;
Maschinelles Lernen
;
Weka 3
;
Data Mining
;
Data Mining
;
Java
URL:
Ausführliche Beschreibung
URL:
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020811561&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
URL:
Ausführliche Beschreibung
URL:
Ausführliche Beschreibung
URL:
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020811561&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Author information:
Witten, Ian H. 1947-
Author information:
Frank, Eibe