Beschreibung:
Rev. edition of: Data mining: practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall. c2013.
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