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High Utility Pattern Mining Theory (7 results)
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High-Utility Pattern Mining. Theory, Algorithms and Applications.
Book 45 of 95: Studies in Big DataSeller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
viii, 337 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Condition: As New. Unread book in perfect condition.
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High-utility Pattern Mining : Theory, Algorithms and Applications
Book 51 of 95: Studies in Big DataSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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High-utility Pattern Mining : Theory, Algorithms and Applications
Book 45 of 95: Studies in Big DataSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 107.51
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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High-utility Pattern Mining: Theory, Algorithms and Applications
Book 45 of 95: Studies in Big DataLanguage: English
Published by Springer-Verlag New York Inc, 2019
ISBN 10: 3030049205 ISBN 13: 9783030049201
Hardcover. Condition: Brand New. 348 pages. 9.25x6.10x0.98 inches. In Stock.
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High-Utility Pattern Mining : Theory, Algorithms and Applications
Book 51 of 95: Studies in Big DataLanguage: English
Published by Springer International Publishing, 2019
ISBN 10: 3030049205 ISBN 13: 9783030049201
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data.The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.
