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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pages cm First edition Based on author's second Ph.D. dissertation completed in Virginia Tech, Blacksburg, Virginia, USA, 2001 Includes bibliographical references and index. Seller Inventory # 26397710498
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Paperback. Condition: new. Paperback. Co-location pattern mining detects sets of features frequently located in close proximity to each other. This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of co-location pattern mining, co-location decision tree, and maximal instance co-location pattern mining along with an in-depth overview of data mining, machine learning, and statistics. This arrangement of chapters helps readers understand the methods of co-location pattern mining step-by-step and their applications in pavement management, image classification, geospatial buffer analysis, etc. This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of co-location pattern mining, co-location decision tree, and maximal instance co-location pattern mining for a step-by-step understanding. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780367688660
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 228 pages. 9.19x6.13x9.21 inches. In Stock. This item is printed on demand. Seller Inventory # __0367688662
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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