Unsupervised Learning Algorithms

Name: Unsupervised Learning Algorithms
Brand: Springer International Publishing AG
SKU: 9783319242095
Price: 2514 CZK
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Autor: M. Emre Celebi, Kemal Aydin

Jazyk:

Vazba: Pevná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

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This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how wit...

Informace o knize

Autor

M. Emre Celebi, Kemal Aydin

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2016

Stránek

558

EAN

9783319242095

ISBN

3319242091

Enbook ID

09503654

Vydavatel

Springer International Publishing AG

Hmotnost

1002

Rozměry

166 x 247 x 36

Kompletní popis

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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