Data Mining for Co-location Patterns

Principles and Applications

By: Guoqing Zhou

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Hardcover | 27 January 2022 | Edition Number 1

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Hardcover
230 Pages

Dimensions(cm)
23.39 x 15.6 x 1.42

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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.

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