Signatur:
M 09.0096
Beschreibung / Inhaltsverzeichnis:
Contents: Preface 1. What's it all about? 2. Input: Concepts, instances, attributes 3. Output: Knowledge representation 4. Algorithms: The basic methods 5. Credibility: Evaluating what's been learned 6. Implementations: Real machine learning schemes 7. Transformations: Engineering the input and output 8. Moving on: Extensions and applications Part II: The Weka machine learning workbench 9. Introduction to Weka 10. The Explorer 11. The Knowledge Flow interface 12. The Experimenter 13. The command-line interface 14. Embedded machine learning 15. Writing new learning schemes
Materialart:
Monographie ausleihbar
Seiten:
xxxi, 525 p.
,
ill
,
24 cm
Ausgabe:
2nd ed.
ISBN:
0120884070
Serie:
Morgan Kaufmann series in data management systems
Klassifikation:
Informatik
Standort:
Kompaktmagazin oben
Zweigbibliothek:
GFZ Bibliothek
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