Data Mining for Co-location Patterns: Principles and Applications

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.

ISBN:	9780367654269
Publisher:	CRC Press
Imprint:	CRC Press
Published date:	27 Jan 2022
DEWEY:	006.3
DEWEY edition:	23
Language:	English
Number of pages:	248
Weight:	532g
Height:	224mm
Width:	243mm
Spine width:	22mm

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