Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Mining for Co-location Patterns: Principles and Applications

Data Mining for Co-location Patterns: Principles and Applications

Zhou, Guoqing

Paperback

Technology & EngineeringDatabasesGeneral Computers

ISBN10: 0367688662
ISBN13: 9780367688660
Publisher: CRC Press
Published: May 27 2024
Pages: 228
Weight: 0.72
Height: 0.48 Width: 6.14 Depth: 9.21
Language: English
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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