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Geostatistics with Data of Different Support Applied to Mining Engineering

This book explains the integration of data of different support in Geostatistics. There is a common misconception in the mining industry;

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Geostatistics with Data of Different Support Applied to Mining Engineering

This book explains the integration of data of different support in Geostatistics. There is a common misconception in the mining industry;

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Artificial Intelligence and Data Mining in Healthcare

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific;

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Introduction to Geostatistics

Engineers and applied geophysicists routinely encounter interpolation and estimation problems when analysing data from field observations;

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Mining Software Engineering Data for Software Reuse

This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different;

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Mining Software Engineering Data for Software Reuse

This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different;

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Geostatistics

methods and integrating them with new developments to the field. The authors employ an applied focus on new aspects of geostatistics, including;

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Mining Geostatistics

, France) aim for a complete handbook. They work from their practical experience gained in mining operations in France to cover geostatistics and;

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Geoinformatics & Geostatistics

infrastructure to address the problems of geosciences related branches of engineering. Geostatistics is a branch of Geology that deals with the analysis;

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Educational Improvement Through Data Mining & Analytics

how data mining and analytics work and how they can be applied within online learning systems to support education-related decision making.;

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Closed Loop Management in Mineral Resource Extraction

This book describes an innovative closed-loop concept that allows the feedback of online data from operational monitoring to create mining;

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Multivariate Geostatistics: An Introduction with Applications

account of 3 basic methods of multivariate analysis. Applications from different areas of science, as well as exercises with solutions, are;

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Solved Problems in Geostatistics

problems that allow the reader to master the statistical techniques for modeling data in the geological sciences. The book's scope of coverage;

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Geostatistical Primer, A

This book is an introductory text on geostatistics which treats spatially distributed random data and can be applied to areas like ore;

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Applied Geostatistics

In Applied Geostatistics the authors demonstrate how simple statistical methods can be used to analyse earth science data. In clear;

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Information and Knowledge Engineering

Management + Knowledge Acquisition Databases, Information Retrieval and Search Decision Support Systems Mining of Data Rich Sources Data and;

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Data Mining Algorithms

Researchers and Professionals in data mining and related fields should be familiar with different models and standard algorithms in use to;

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Applied Geostatistics with SGeMS

variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection;

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Geostatistics for Estimating Fish Abundance

application to fisheries survey data. Comprehensive and practical advice is given on how this new method can be used to estimate the abundance (with;

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Data Mining

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications;

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Data Mining

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications;

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Applied Geostatistics for Reservoir Characterization

This book is written to illustrate the importance of geostatistics in improving the reservoir characterization process. ;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Data Mining

. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater;

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Cognitive Science and Artificial Intelligence

chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to;

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Clustering Challenges In Biological Networks

analysis and data mining, as well as people working in bioinformatics, computer science, engineering, and applied mathematics. In addition, the;

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