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Cover: 9783319242095 | Unsupervised Learning Algorithms | Kemal Aydin (u. a.) | Buch | X
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Unsupervised Learning Algorithms
Buch von Kemal Aydin (u. a.)
Sprache: Englisch

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Beschreibung
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 includeanomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.
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 includeanomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.
Zusammenfassung

Contains the state-of-the-art in unsupervised learning in a single comprehensive volume

Features numerous step-by-step tutorials help the reader to learn quickly

Inhaltsverzeichnis
Introduction.- Feature Construction.- Feature Extraction.- Feature Selection.- Association Rule Learning.- Clustering.- Anomaly/Novelty/Outlier Detection.- Evaluation of Unsupervised Learning.- Applications.- Conclusion.
Details
Erscheinungsjahr: 2016
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 568
Inhalt: x
558 S.
59 s/w Illustr.
101 farbige Illustr.
558 p. 160 illus.
101 illus. in color.
ISBN-13: 9783319242095
ISBN-10: 3319242091
Sprache: Englisch
Herstellernummer: 978-3-319-24209-5
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Aydin, Kemal
Celebi, M. Emre
Herausgeber: M Emre Celebi/Kemal Aydin
Auflage: 1st ed. 2016
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 241 x 160 x 36 mm
Von/Mit: Kemal Aydin (u. a.)
Erscheinungsdatum: 09.05.2016
Gewicht: 1,01 kg
preigu-id: 104334649
Zusammenfassung

Contains the state-of-the-art in unsupervised learning in a single comprehensive volume

Features numerous step-by-step tutorials help the reader to learn quickly

Inhaltsverzeichnis
Introduction.- Feature Construction.- Feature Extraction.- Feature Selection.- Association Rule Learning.- Clustering.- Anomaly/Novelty/Outlier Detection.- Evaluation of Unsupervised Learning.- Applications.- Conclusion.
Details
Erscheinungsjahr: 2016
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 568
Inhalt: x
558 S.
59 s/w Illustr.
101 farbige Illustr.
558 p. 160 illus.
101 illus. in color.
ISBN-13: 9783319242095
ISBN-10: 3319242091
Sprache: Englisch
Herstellernummer: 978-3-319-24209-5
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Aydin, Kemal
Celebi, M. Emre
Herausgeber: M Emre Celebi/Kemal Aydin
Auflage: 1st ed. 2016
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 241 x 160 x 36 mm
Von/Mit: Kemal Aydin (u. a.)
Erscheinungsdatum: 09.05.2016
Gewicht: 1,01 kg
preigu-id: 104334649
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