Data Mining for Co-location Patterns e-bog
948,41 DKK
(inkl. moms 1185,51 DKK)
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-lo...
E-bog
948,41 DKK
Forlag
CRC Press
Udgivet
26 januar 2022
Længde
210 sider
Genrer
JFSG
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781000533439
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.