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zhou g data mining co location patterns principles app 2022

Type:: E-books
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Uploaded On:: Dec. 14, 2021, 9:22 a.m.
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Textbook in PDF format 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. Introduction Fundamentals of Mining Co-Location Patterns Principle of Mining Co-Location Patterns Manifold Learning Co-Location Pattern Mining Maximal Instance Co-Location Pattern Mining Algorithms Negative Co-Location Pattern Mining Algorithms Application of Mining Co-Location Patterns in Pavement Management and Rehabilitation Application of Mining Co-Location Patterns in Buffer Analysis Application of Mining Co-Location Patterns in Remotely Sensed Imagery Classifcation

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Zhou G. Data Mining for Co-location Patterns.Principles.App 2022.pdf 12.3 MB

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zhou g data mining co location patterns principles app 2022

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