Excellent data mining textbook,
Rezension bezieht sich auf: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (Morgan Kaufmann Series in Data Management Systems) (Taschenbuch)
Broad coverage, including hot new topics: SVM, boosting and bagging, modern evaluation methods (ROC and lift curves). Well grounded in practical data mining applications, talks about DM issues outside model building, which are rarely discussed: feature engineering, data cleaning, etc. Clear and well written: illustrative examples help the presentation a lot. Describes in detail decision trees and rule learners, instance-based learning, and numerical prediction. Accompanied by the WEKA system, implementing in Java many of the methods discussed in the book, and available for download for free. An excellent hands-on textbook for an applied Machine Learening/DM class, or recommended reading for ayone who wants to understand DM. Good next step for those that have whetted their appetite with Berry and Linof's book.
Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (Morgan Kaufmann Series in Data Management Systems)(5 Kundenrezensionen)
Gebraucht & neu ab: EUR 16,72
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