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Bibliografische Details

Titel: Data Mining: Practical Machine Learning ...

Verlag: Morgan Kaufmann

Erscheinungsdatum: 2005

Einband: Softcover

Zustand: Good

Auflage: 2. Auflage

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Book by Witten Ian H Frank Eibe

Cr�ticas:

“This book presents this new discipline in a very accessible form: both as a text to train the next generation of practitioners and researchers, and to inform lifelong learners like myself. Witten and Frank have a passion for simple and elegant solutions. They approach each topic with this mindset, grounding all concepts in concrete examples, and urging the reader to consider the simple techniques first, and then progress to the more sophisticated ones if the simple ones prove inadequate. If you have data that you want to analyze and understand, this book and the associated Weka toolkit are an excellent way to start.
― From the foreword by Jim Gray, Microsoft Research

“It covers cutting-edge, data mining technology that forward-looking organizations use to successfully tackle problems that are complex, highly dimensional, chaotic, non-stationary (changing over time), or plagued by. The writing style is well-rounded and engaging without subjectivity, hyperbole, or ambiguity. I consider this book a classic already!
― Dr. Tilmann Bruckhaus, StickyMinds.com

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