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Data Mining for Co-location Patterns

Principles and Applications

Medium: Buch
ISBN: 978-0-367-65426-9
Verlag: CRC Press
Erscheinungstermin: 27.01.2022
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9780367654269
  • Medium: Buch
  • ISBN: 978-0-367-65426-9
  • Verlag: CRC Press
  • Erscheinungstermin: 27.01.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Produktform: Gebunden, HC gerader Rücken kaschiert
  • Gewicht: 514 g
  • Seiten: 228
  • Format (B x H x T): 161 x 240 x 17 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

Chapter 1 IntroductionChapter 2 Fundamentals of Mining Co-Location PatternsChapter 3 Principle of Mining Co-Location PatternsChapter 4 Manifold Learning Co-Location Pattern MiningChapter 5 Maximal Instance Co-Location Pattern Mining AlgorithmsChapter 6 Negative Co-Location Pattern Mining AlgorithmsChapter 7 Application of Mining Co-Location Patterns in Pavement Management and RehabilitationChapter 8 Application of Mining Co-Location Patterns in Buffer AnalysisChapter 9 Application of Mining Co-Location Patterns in Remotely Sensed Imagery ClassificationIndex