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Can I read Foundations of Data Mining and Knowledge Discovery (Studies in Computational Intelligence) (Studies in Computational Intelligence) on EtoBox?

Foundations of Data Mining and Knowledge Discovery (Studies in Computational Intelligence) (Studies in Computational Intelligence) by Setsuo Ohsuga (auth.), Professor Tsau Young Lin, Professor Setsuo Ohsuga, Dr. Churn-Jung Liau, Professor Xiaohua Hu, Professor Shusaku Tsumoto (eds.) is a nonfiction available to read on EtoBox.

What is Foundations of Data Mining and Knowledge Discovery (Studies in Computational Intelligence) (Studies in Computational Intelligence) about?

__Foundations of Data Mining and Knowledge Discovery__ contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state-of-the-art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.

Who reads Foundations of Data Mining and Knowledge Discovery (Studies in Computational Intelligence) (Studies in Computational Intelligence)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Setsuo Ohsuga (auth.), Professor Tsau Young Lin, Professor Setsuo Ohsuga, Dr. Churn-Jung Liau, Professor Xiaohua Hu, Professor Shusaku Tsumoto (eds.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
2005
Language
EN
ISBN
9783540324010
Category
nonfiction
Subjects
Science, Engineering, Mathematics

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