Description
| Product ID: | 9780367654269 |
| Product Form: | Hardback |
| Country of Manufacture: | US |
| Title: | Data Mining for Co-location Patterns |
| Subtitle: | Principles and Applications |
| Authors: | Author: Guoqing Zhou |
| Page Count: | 210 |
| Subjects: | Urban communities, Urban communities, Earth sciences, Geographical information systems, geodata and remote sensing, Engineering: general, Automatic control engineering, Civil engineering, surveying and building, Databases, Artificial intelligence, Earth sciences, Geographical information systems (GIS) & remote sensing, Engineering: general, Automatic control engineering, Civil engineering, surveying & building, Databases, Artificial intelligence |
| Description: | 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. |
| Imprint Name: | CRC Press |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2022-01-27 |
