Cover for Data Mining and Knowledge Discovery for Geoscientists

Data Mining and Knowledge Discovery for Geoscientists

Book2014

Authors:

Guangren Shi

Data Mining and Knowledge Discovery for Geoscientists

Book2014

 

Cover for Data Mining and Knowledge Discovery for Geoscientists

Authors:

Guangren Shi

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Book description

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 absen ... read full description

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  2. Book chapterAbstract only

    Chapter 1 - Introduction

    Pages 1-22

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    Chapter 2 - Probability and Statistics

    Pages 23-53

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    Chapter 3 - Artificial Neural Networks

    Pages 54-86

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    Chapter 4 - Support Vector Machines

    Pages 87-110

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    Chapter 5 - Decision Trees

    Pages 111-138

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    Chapter 6 - Bayesian Classification

    Pages 139-190

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    Chapter 7 - Cluster Analysis

    Pages 191-237

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    Chapter 8 - Kriging

    Pages 238-274

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    Chapter 9 - Other Soft Computing Algorithms for Geosciences

    Pages 275-319

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    Chapter 10 - A Practical Software System of Data Mining and Knowledge Discovery for Geosciences

    Pages 320-340

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    Appendix 1 - Table of Unit Conversion

    Pages 341-344

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    Appendix 2 - Answers to Exercises

    Pages 345-360

  14. Book chapterNo access

    Index

    Pages 361-367

About the book

Description

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.

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.

Key Features

  • Focuses on 22 of data mining’s most practical algorithms and popular application samples
  • Features 36 case studies and end-of-chapter exercises unique to the geosciences to underscore key data mining applications
  • Presents a practical and integrated system of data mining and knowledge discovery for geoscientists
  • Rigorous yet broadly accessible to geoscientists, engineers, researchers and programmers in data mining
  • Introduces widely used algorithms, their basic principles and conditions of applications, diverse case studies, and suggests algorithms that may be suitable for specific applications
  • Focuses on 22 of data mining’s most practical algorithms and popular application samples
  • Features 36 case studies and end-of-chapter exercises unique to the geosciences to underscore key data mining applications
  • Presents a practical and integrated system of data mining and knowledge discovery for geoscientists
  • Rigorous yet broadly accessible to geoscientists, engineers, researchers and programmers in data mining
  • Introduces widely used algorithms, their basic principles and conditions of applications, diverse case studies, and suggests algorithms that may be suitable for specific applications

Details

ISBN

978-0-12-410437-2

Language

English

Published

2014

Copyright

Copyright © 2014 Elsevier Inc. All rights reserved.

Imprint

Elsevier

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Authors

Guangren Shi

Professor of Mathematical Geology, Research Institute of Petroleum Exploration and Development, Beijing, China