Data Mining and Knowledge Discovery for Geoscientists book cover

Data Mining and Knowledge Discovery for Geoscientists

Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining data amid an absence of the knowledge and expertise necessary to analyze and accurately interpret the same data. Most geoscientists have no practical knowledge or experience using data mining techniques. For the few that do, they typically lack expertise in using data mining software and in selecting the most appropriate algorithms for a given application. This leads to a paradoxical scenario of "rich data but poor knowledge".

The true solution is to apply data mining techniques in geosciences databases and to modify these techniques for practical applications. Authored by a global thought leader in data mining, Data Mining and Knowledge Discovery for Geoscientists addresses these challenges by summarizing the latest developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information.

Audience

The primary audience includes researchers in data mining, and scientists and engineers in the geosciences. A secondary audience includes scientists and engineers in computer science and information technology, and graduate students taking related coursework.

Hardbound, 376 Pages

Published: November 2013

Imprint: Elsevier

ISBN: 978-0-12-410437-2

Contents

  • Introduction
    1 Introduction to Data Mining
    2 Probability and Statistics
    3 Artificial Neural Networks
    4 Support Vector Machines
    5 Decision Trees (DTR)
    6 Bayesian Classification
    7 Cluster Analysis
    8 Kriging Method
    9 Other Soft Computing
    Methods for the Geosciences
    10 A Practical Data Mining and Knowledge Discovery System for the Geosciences
    Index

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