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Principles and Theory for Data Mining and Machine Learning

Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular an;...

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Statistics in MATLAB

Fulfilling the need for a practical user's guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version;

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Statistics in MATLAB

Fulfilling the need for a practical user's guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version;

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Statistics for Mining Engineering

. For these reasons, knowledge of modern statistics is necessary for mining engineers; not only as to how statistical analysis of data should be;

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Statistics for Mining Engineering

. For these reasons, knowledge of modern statistics is necessary for mining engineers; not only as to how statistical analysis of data should be;

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Discontinuity Analysis for Rock Engineering

discontinuities . The requirement to provide numerical data on discontinuities for engineering design calculations has created the need to apply the;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;

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Modern Engineering Statistics

This concise introduction to engineering statistics emphasizes data analysis and model building, not mathematical statistics. Intended for;

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Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were;

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Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were;

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Health Care Systems Engineering

opportunity to discuss operations management issues in health care delivery systems, and to share new ideas, methods and technologies for improving;

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Health Care Systems Engineering

opportunity to discuss operations management issues in health care delivery systems, and to share new ideas, methods and technologies for improving;

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Mine Safety Science and Engineering : Health and Disaster Management

established safety standards, policies, guidelines and regulations. These innovative and practical methods for ensuring safe mining operations are;

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Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining-including big data;

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Introductory Mining Engineering

outlines the role of the mining engineer throughout the life of a mine, including prospecting for the deposit, determining the site's value;

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Advances in Knowledge Discovery and Data Mining

Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Engineering Statistics

probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing;

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Learn R for Applied Statistics

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;

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Data Analytics for Drilling Engineering

professional drilling engineers and open up a new area of application for signal processing and data mining scientists.;

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Data Analytics for Drilling Engineering

professional drilling engineers and open up a new area of application for signal processing and data mining scientists.;

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Probability and Statistics for Science and Engineering with Examples in R

Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary;

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Mining Engineering

Mining Engineering is an emerging branch of engineering focusing upon the extraction and processing of minerals from their natural state;

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Advances in Rock-Support and Geotechnical Engineering

tunneling engineering, slope engineering, mining engineering, and rock mechanics, and for onsite technical personnel and teachers and students;

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Student Solutions Manual Engineering Statistics, 5e

probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing;

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