Data Mining for Co-location Patterns : Principles and Applications
by
Guoqing Zhou
Book Details
Format
Hardback or Cased Book
ISBN-10
0367654261
ISBN-13
9780367654269
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Jan 27th, 2022
Print length
228 Pages
Weight
532 grams
Dimensions
22.40 x 24.30 x 2.20 cms
Ksh 22,500.00
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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.
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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