Data Mining and Knowledge Discovery for Geoscientists, 1st Edition

  • Published By:
  • ISBN-10: 0124104754
  • ISBN-13: 9780124104754
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 376 Pages | eBook
  • Original Copyright 2013 | Published/Released May 2014
  • This publication's content originally published in print form: 2013

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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.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: Introduction.
2: Probability and Statistics.
3: Artificial Neural Networks.
4: Support Vector Machines.
5: Decision Trees.
6: Bayesian Classification.
7: Cluster Analysis.
8: Kriging.
9: Other Soft Computing Algorithms for Geosciences.
10: A Practical Software System of Data Mining and Knowledge Discovery for Geosciences.
Table of Unit Conversion.
Answers to Exercises.