Introduction to Mining Business Projects - 2nd Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Mining Business Projects - 2nd Edition write by Roger Rumbu. This book was released on 2018-03-17. Introduction to Mining Business Projects - 2nd Edition available in PDF, EPUB and Kindle. Mining operations are the key elements in this time of technical changes and development. Transport, housing, different infrastructures are requiring more and more mining resources. the release of a new smartphone or tablet, the top self-driven electrical, the rocket program are all felt in the womb of the earth somewhere in all continents and very soon in the moon. Even a new secured banking note or a pacemaker have their roots in the mines. Mining resources have not been all evaluated, many are estimated explaining why since the man as started digging, many resources are still available leading more and more people investing in mining operations to fill the needs of this world in perpetual development. This introduction to Mining Business Projects is a tool, a must have to help potential junior miners to make the right path in the ventures of mining operations. Mining operation is a tremendous story to share, please go for it. Roger Rumbu, Met. Eng., PPM, TBOM.
Project Management for Mining, 2nd Edition
Project Management for Mining, 2nd Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Project Management for Mining, 2nd Edition write by Robin J. Hickson. This book was released on 2022-02-01. Project Management for Mining, 2nd Edition available in PDF, EPUB and Kindle. Before You Put the First Shovel in the Ground—This Book Could Be the Difference Between a Successful Mining Operation and a Money Pit Opening a successful new mine is a vastly complex undertaking, entailing several years and millions to billions of dollars. In today’s world, when environmental and labor policies, regulatory compliance, and the impact of the community must be factored in, you cannot afford to make a mistake. The Society for Mining, Metallurgy & Exploration has created this road map for you. Written by two hands-on, in-the-trenches mining project managers with decades of experience bringing some of the world’s most successful, profitable mines into operation on time, within budget, and ethically, Project Management for Mining gives you step-by-step instructions in every process you are likely to encounter. It is in use as course material in universities in Australia, Canada, Colombia, Ghana, Iran, Kazakhstan, Peru, Russia, Saudi Arabia, South Africa, the United Kingdom, as well as the United States. In addition, more than 100 different mining companies have sent employees to attend seminars conducted by authors Robin Hickson and Terry Owen, sessions all based around the material within this book. In the years following the first edition, the authors gratefully received a bevy of excellent suggestions from some 2,000 readers in over 50 countries. This helpful reader feedback, coupled with written evaluations from the more than 400 seminar attendees, has been an unparalleled source of improvement for this new book. This second edition is a significant accomplishment that includes 5 new chapters, substantial updates to the original 34 chapters, and 56 new or updated figures, flowcharts, and checklists that every project manager can use.
Introduction to Mining Business Projects
Introduction to Mining Business Projects - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Mining Business Projects write by Roger Rumbu. This book was released on 2017-02-23. Introduction to Mining Business Projects available in PDF, EPUB and Kindle. Mining operations are the key elements in this time of technical changes and development. Transport, housing, different infrastructures are requiring more and more mining resources. the release of a new smartphone or tablet, the top self-driven electrical, the rocket program are all felt in the womb of the earth somewhere in all continents and very soon in the moon. Even a new secured banking note or a pacemaker have their roots in the mines. Mining resources have not been all evaluated, many are estimated explaining why since the man as started digging, many resources are still available leading more and more people investing in mining operations to fill the needs of this world in perpetual development. This introduction to Mining Business Projects is a tool, a must have to help potential junior miners to make the right path in the ventures of mining operations. Mining operation is a tremendous story to share, please go for it. Roger Rumbu, Met. Eng., PPM, TBOM.
Data Mining
Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining write by Ian H. Witten. This book was released on 2011-02-03. Data Mining available in PDF, EPUB and Kindle. Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization
Applied Data Mining for Business and Industry
Applied Data Mining for Business and Industry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Data Mining for Business and Industry write by Paolo Giudici. This book was released on 2009-05-26. Applied Data Mining for Business and Industry available in PDF, EPUB and Kindle. The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications. Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods. Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining. Features detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, with case studies analysed using R. Is accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.
