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Data Mining for Co-location Patterns : Principles and Applications - Guoqing Zhou

Data Mining for Co-location Patterns

Principles and Applications

By: Guoqing Zhou

eText | 26 January 2022 | Edition Number 1

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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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You Can Find This eBook In

Non-FictionEarth Sciences, Geography, Environment, PlanningGeographyGeographical Information Systems GIS & Remote SensingComputing & I.T.DatabasesData MiningComputer ScienceSystems Analysis & DesignEngineering & TechnologyEnvironmental ScienceEarth Sciences
Civil EngineeringTechnology in GeneralEngineering in GeneralElectronics & Communications EngineeringElectronics EngineeringAutomatic Control EngineeringSociety & Social Sciences

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Paperback

Published: 27th May 2024

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