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Geospatial Abduction

Principles and Practice

  • Paulo Shakarian
  • V. S. Subrahmanian

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Paulo Shakarian, V. S. Subrahmanian
    Pages 1-13
  3. Paulo Shakarian, V. S. Subrahmanian
    Pages 15-56
  4. Paulo Shakarian, V. S. Subrahmanian
    Pages 57-92
  5. Paulo Shakarian, V. S. Subrahmanian, John P. Dickerson
    Pages 93-146
  6. Paulo Shakarian, V. S. Subrahmanian
    Pages 147-165
  7. Back Matter
    Pages 167-168

About this book

Introduction

Imagine yourself as a military officer in a conflict zone trying to identify locations of weapons caches supporting road-side bomb attacks on your country’s troops. Or imagine yourself as a public health expert trying to identify the location of contaminated water that is causing diarrheal diseases in a local population. Geospatial abduction is a new technique introduced by the authors that allows such problems to be solved. Geospatial Abduction provides the mathematics underlying geospatial abduction and the algorithms to solve them in practice; it has wide applicability and can be used by practitioners and researchers in many different fields. Real-world applications of geospatial abduction to military problems are included. Compelling examples drawn from other domains as diverse as criminology, epidemiology and archaeology are covered as well. This book also includes access to a dedicated website on geospatial abduction hosted by University of Maryland. Geospatial Abduction targets practitioners working in general AI, game theory, linear programming, data mining, machine learning, and more. Those working in the fields of computer science, mathematics, geoinformation, geological and biological science will also find this book valuable.

Keywords

Abductive Inference Approximation algorithms Combinatorial optimization Constraint solving Counter-IED Data mining Geometric reasoning Geospatial reasoning Linear Programming Machine learning Protecting against improvised explosive device attacks

Authors and affiliations

  • Paulo Shakarian
    • 1
  • V. S. Subrahmanian
    • 2
  1. 1.BowieUSA
  2. 2.Inst. Advanced Computer Studies, Dept. Computer ScienceUniversity of MarylandCollege ParkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-1794-1
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-1793-4
  • Online ISBN 978-1-4614-1794-1
  • Buy this book on publisher's site