Verkauf durch Sack Fachmedien

Zhou

Data Mining for Co-location Patterns

Principles and Applications

Medium: Buch
ISBN: 978-0-367-65426-9
Verlag: Taylor & Francis Ltd (Sales)
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: Taylor & Francis Ltd (Sales)
  • Erscheinungstermin: 27.01.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Produktform: Gebunden
  • Gewicht: 499 g
  • Seiten: 228
  • Format (B x H x T): 156 x 234 x 14 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

Chapter 1 Introduction

Chapter 2 Fundamentals of Mining Co-Location Patterns

Chapter 3 Principle of Mining Co-Location Patterns

Chapter 4 Manifold Learning Co-Location Pattern Mining

Chapter 5 Maximal Instance Co-Location Pattern Mining Algorithms

Chapter 6 Negative Co-Location Pattern Mining Algorithms

Chapter 7 Application of Mining Co-Location Patterns in Pavement Management and Rehabilitation

Chapter 8 Application of Mining Co-Location Patterns in Buffer Analysis

Chapter 9 Application of Mining Co-Location Patterns in Remotely Sensed Imagery Classification

Index