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Overview"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." Full Product DetailsAuthor: Guangren Shi (Research Institute of Petroleum Exploration and Development at PetroChina, Beijing, China)Publisher: Elsevier Science Publishing Co Inc Imprint: Elsevier Science Publishing Co Inc Dimensions: Width: 19.10cm , Height: 2.30cm , Length: 23.50cm Weight: 0.960kg ISBN: 9780124104372ISBN 10: 0124104371 Pages: 376 Publication Date: 12 December 2013 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction 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 IndexReviews"""Shi introduces geological scientists to algorithms that are widely used for data mining and knowledge discovery, describes how they have been and could be applied in the geosciences, and surveys some successful applications. The algorithms fall into the categories of probability and statistics, artificial neural networks, support vector machines, decision trees, Bayesian classification, cluster analysis, the Kriging method, and fuzzy mathematics…""-ProtoView.com, February 2014" Shi introduces geological scientists to algorithms that are widely used for data mining and knowledge discovery, describes how they have been and could be applied in the geosciences, and surveys some successful applications. The algorithms fall into the categories of probability and statistics, artificial neural networks, support vector machines, decision trees, Bayesian classification, cluster analysis, the Kriging method, and fuzzy mathematics. -ProtoView.com, February 2014 Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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