ENGLISH

Data mining: practical machine learning tools and techniques

By Frank , Ian H , Eibe;Hall , Mark A.;Pal , Christopher J.;Witten

Book information

Publisher
Morgan Kaufmann
Year
2017
ISBN
9780128042915, 0128042915
Language
english
Format
PDF
Filesize
13 MB (13877394 bytes)
Edition
Fourth edition
Pages
XXXII, 621 pagina's : illustraties ; 24 cm\655
Time added
2020-07-26 19:24:52
Data Mining;Datamining;Java;Maschinelles Lernen;So

Description

Part I: Introduction to data mining 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 Part II. More advanced machine learning schemes 6. Trees and rules 7. Extending instance-based and linear models 8. Data transformations 9. Probabilistic methods 10. Deep learning 11. Beyond supervised and unsupervised learning 12. Ensemble learning 13. Moving on: applications and beyond

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