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Unsupervised Learning Algorithms

Language EnglishEnglish
Book Paperback
Book Unsupervised Learning Algorithms M. EMRE CELEBI
Libristo code: 19684603
Publishers Springer International Publishing AG, May 2018
This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how wit... Full description
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This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.

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About the book

Full name Unsupervised Learning Algorithms
Language English
Binding Book - Paperback
Date of issue 2018
Number of pages 558
EAN 9783319795904
ISBN 9783319795904
Libristo code 19684603
Weight 8482
Dimensions 155 x 235 x 26
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