Data Mining for Co-location Patterns: Principles and Applications, 1st Edition

.\nCo-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.\nData Mining for Co-location Patterns: Principles and Applications 1st Edition is written by Guoqing Zhou and published by CRC Press. ISBNs for Data Mining for Co-location Patterns are 9781000533446, 1000533441 and the print ISBNs are 9780367654269, 0367654261. Additional ISBNs include 9781003139416, 9780367688660, 9781000533439.