eBook
Data Mining for Co-location Patterns : Principles and Applications
| Title: | Data Mining for Co-location Patterns : Principles and Applications |
|---|---|
| Description: | 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. |
| Authors: | Guoqing Zhou |
| Resource Type: | eBook. |
| Subjects: | Geospatial data--Computer processing, Business intelligence--Data processing, Data mining, Cluster analysis--Data processing, Pattern perception--Data processing |
| Categories: | TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Machine Theory, COMPUTERS / Computer Engineering, TECHNOLOGY & ENGINEERING / Environmental / General |
| Database: | eBook Index |
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