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| Full Title | Data Mining for Co-location Patterns Principles and Applications 1st Edition |
|---|---|
| Author(s) | Guoqing Zhou |
| Edition | 1st Edition |
| ISBN | 9781000533446, 9780367654269, 9781003139416, 9780367688660, 9781000533439 |
| Publisher | CRC Press |
| Format | PDF and EPUB |
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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