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Author: Jonathan D. Rosenblum Publisher: Cornell University Press ISBN: 9780801485541 Category : Business & Economics Languages : en Pages : 292
Book Description
In this second edition of his in-depth and gripping account of the Arizona Miners' Strike of 1983, Jonathan D. Rosenblum describes in a new epilogue the resurgence of union activism at Steelworkers Local 890 in Silver City, New Mexico, more than a decade since the devastating campaign waged by the Phelps Dodge Corporation to obliterate the unions at its Arizona properties.
Author: Jonathan D. Rosenblum Publisher: Cornell University Press ISBN: 9780801485541 Category : Business & Economics Languages : en Pages : 292
Book Description
In this second edition of his in-depth and gripping account of the Arizona Miners' Strike of 1983, Jonathan D. Rosenblum describes in a new epilogue the resurgence of union activism at Steelworkers Local 890 in Silver City, New Mexico, more than a decade since the devastating campaign waged by the Phelps Dodge Corporation to obliterate the unions at its Arizona properties.
Author: Robin J. Hickson Publisher: Society for Mining, Metallurgy & Exploration ISBN: 087335494X Category : Technology & Engineering Languages : en Pages : 782
Book Description
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.
Author: Robin G. Adams Publisher: Emerald Group Publishing ISBN: 1789737893 Category : Business & Economics Languages : en Pages : 205
Book Description
This book brings together perspectives from economics, specifically minerals economics, to the management of global mining companies. It covers volatile price forecasting, cost analysis, investment decisions, and the social, environmental, and developmental impacts of mining.
Author: J. A. Botin Publisher: SME ISBN: 087335267X Category : Technology & Engineering Languages : en Pages : 396
Book Description
The pressure is on to enhance corporate reputations, achieve higher operational efficiency, improve planning and control, gain access to mineral resources, build trust with stakeholders, attract financing, recruit and retain a quality workforce, and lower costs. Sustainable Management of Mining Operations provides a holistic, practical approach to achieving these goals. The key, say the authors, is to create a culture within the organization that recognizes the value of sustainability by effectively integrating economic, environmental, and social considerations. Each section of this book focuses on sustainable management from a different perspective, management level, or stage of the mine life cycle. You'll benefit from real-life, practical insights from 27 internationally respected authors whose job titles have encompassed everything from CEO to master mechanic.
Author: National Research Council Publisher: National Academies Press ISBN: 0309172667 Category : Science Languages : en Pages : 259
Book Description
This book, the result of a congressionally mandated study, examines the adequacy of the regulatory framework for mining of hardrock mineralsâ€"such as gold, silver, copper, and uraniumâ€"on over 350 million acres of federal lands in the western United States. These lands are managed by two agenciesâ€"the Bureau of Land Management in the Department of the Interior, and the Forest Service in the Department of Agriculture. The committee concludes that the complex network of state and federal laws that regulate hardrock mining on federal lands is generally effective in providing environmental protection, but improvements are needed in the way the laws are implemented and some regulatory gaps need to be addressed. The book makes specific recommendations for improvement, including: The development of an enhanced information management system and a more efficient process to review new mining proposals and issue permits. Changes to regulations that would require all mining operations, other than "casual use" activities that negligibly disturb the environment, to provide financial assurances for eventual site cleanup. Changes to regulations that would require all mining and milling operations (other than casual use) to submit operating plans in advance.
Author: Wil M. P. van der Aalst Publisher: Springer ISBN: 3662498510 Category : Computers Languages : en Pages : 477
Book Description
This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.
Author: Ian H. Witten Publisher: Elsevier ISBN: 0080890369 Category : Computers Languages : en Pages : 665
Book Description
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
Author: Mr Arthur McIvor Publisher: Ashgate Publishing, Ltd. ISBN: 1409479617 Category : History Languages : en Pages : 384
Book Description
Arthur McIvor and Ronald Johnston explore the experience of coal miners' lung diseases and the attempts at voluntary and legal control of dusty conditions in British mining from the late nineteenth century to the present. In this way, the book addresses the important issues of occupational health and safety within the mining industry; issues that have been severely neglected in studies of health and safety in general. The authors examine the prevalent diseases, notably pneumoconiosis, emphysema and bronchitis, and evaluate the roles of key players such as the doctors, management and employers, the state and the trade unions. Throughout the book, the integration of oral testimony helps to elucidate the attitudes of workers and victims of disease, their 'machismo' work culture and socialisation to very high levels of risk on the job, as well as how and why ideas and health mentalities changed over time. This research, taken together with extensive archive material, provides a unique perspective on the nature of work, industrial relations, the meaning of masculinity in the workplace and the wider social impact of industrial disease, disability and death. The effects of contracting dust disease are shown to result invariably in seriously prescribed lifestyles and encroaching isolation. The book will appeal to those working on the history of medicine, industrial relations, social history and business history as well as labour history.
Author: Jiawei Han Publisher: Elsevier ISBN: 0123814804 Category : Computers Languages : en Pages : 740
Book Description
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
Author: Michael J. A. Berry Publisher: ISBN: 9788126518258 Category : Languages : en Pages : 512
Book Description
Special Features: · Best-in-class data mining techniques for solving critical problems in all areas of business· Explains how to pick the right data mining techniques for specific problems· Shows how to perform analysis and evaluate results· Features real-world examples from across various industry sectors· Companion Web site with updates on data mining products and service providers About The Book: Companies have invested in building data warehouses to capture vast amounts of customer information. The payoff comes with mining or getting access to the data within this information gold mine to make better business decisions. Readers and reviewers loved Berry and Linoff's first book, Data Mining Techniques, because the authors so clearly illustrate practical techniques with real benefits for improved marketing and sales. Mastering Data Mining takes off from there-assuming readers know the basic techniques covered in the first book, the authors focus on how to best apply these techniques to real business cases. They start with simple applications and work up to the most powerful and sophisticated examples over the course of about 20 cases. (Ralph Kimball used this same approach in his highly successful Data Warehouse Toolkit). As with their first book, Mastering Data Mining is sufficiently technical for database analysts, but is accessible to technically savvy business and marketing managers. It should also appeal to a new breed of database marketing managers.
Author: Jonathan D. Rosenblum
Author: Jonathan D. Rosenblum
Author: Robin J. Hickson
Author: Robin G. Adams
Author: J. A. Botin
Author: National Research Council
Author: Wil M. P. van der Aalst
Author: Ian H. Witten
Author: Mr Arthur McIvor
Author: Jiawei Han
Author: Michael J. A. Berry