Published by Information Science Reference, 2011
ISBN 10: 1613500564 ISBN 13: 9781613500569
Language: English
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Published by Information Science Reference, 2011
ISBN 10: 1613500564 ISBN 13: 9781613500569
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 166.27
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Add to basketCondition: New. In.
Published by Information Science Pub, 2011
ISBN 10: 1613500564 ISBN 13: 9781613500569
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
£ 243.19
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Add to basketHardcover. Condition: Brand New. 1st edition. 286 pages. 11.75x9.00x1.00 inches. In Stock.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Information Science Reference, 2011
ISBN 10: 1613500564 ISBN 13: 9781613500569
Language: English
Seller: moluna, Greven, Germany
£ 183
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnSequential data from Web server logs, online transaction logs, and performance measurements is collected each day. This sequential data is a valuable source of information, as it allows individuals to search for a particular value.
Published by Information Science Reference, 2011
ISBN 10: 1613500564 ISBN 13: 9781613500569
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 228.42
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Sequential data from Web server logs, online transaction logs, and performance measurements is collected each day. This sequential data is a valuable source of information, as it allows individuals to search for a particular value or event and also facilitates analysis of the frequency of certain events or sets of related events. Finding patterns in sequences is of utmost importance in many areas of science, engineering, and business scenarios. Pattern Discovery Using Sequence Data Mining: Applications and Studies provides a comprehensive view of sequence mining techniques and presents current research and case studies in pattern discovery in sequential data by researchers and practitioners. This research identifies industry applications introduced by various sequence mining approaches.