Defines some 28,500 terms, encompassing not only standard mining terms but also terms in peripheral areas, such as the environment, pollution, automation, health, and safety. Geological terms related to mining are included, as are minerals with commercial value, and new terms associated with marine

This innovative study provides an exciting, challenging and accessible critical introduction to cultural representations of 1984–5 and analyses the ways in which these representations articulate an essential dialogic exchange of issues central to both the coal dispute and the development of literary and cultural studies over the past twenty five years. Focusing closely on the politics of form, the study interrogates the significance of the mode, means and function of strikers’ writings, as well as alternative representations of the conflict offered by established writers, musicians, artists and film-makers in the wake of the coal dispute. These representations are worthy of study due to the critical interventions they offer, their evidence of the cultural pressures and forces of not only the strike period, but the post-strike years of industrial and labour change and their remarkable contribution to existing social, political and literary histories. Engaging with these works, many of which have never been subject to previous academic analysis, the study enables twenty-first-century readers to re-conceptualise paradigms of received wisdom concerning 1984–5. The significance of the competing representations offered by these very different cultural modes as they engage in a wider battle to ‘author’ the conflict is central to this study. Through a detailed analysis of these representations, as well as the socio-cultural contexts of their production and dissemination, this book explores a range of attempts to capture the sensibilities of late twentieth century society and contributes to an ongoing debate regarding cultural representations of this period in British history. Influenced by critical theory, the text is the first secondary resource concerning cultural representations of the 1984–5 UK miners’ strike available to the reading public the world over.

One of the most important scientific classics, and first to offer detailed technical drawings illustrating mining techniques, field research, and the earliest scientific methods. Translated by Herbert Hoover. 289 woodcuts.

Illuminating the true principals and guidelines bestowed upon us by the Creator, Mining for Meaning: Harvesting Rich Veins of Meaning from Our Relationship with God, One Another, and Nature explores the intrinsic value of human beings to one another and the world they inhabit. James Bailiff examines the potential to be fully engaged in our relationship with God and nature. By acknowledging the sometimes antiquated notions of religiosity, Bailiff proposes a new sense of meaning; one that is our birthright, regardless of what faith we choose. Transcending our ego-based consciousness to attain personal happiness is a truly fulfilling experience, one attained in union with God. Bailiff offers profound insights that allow us to embrace the joyous emotions that gratitude, harmony, abundance, and love provide for us. More timely than ever before, Mining for Meaning questions our departure from experiencing nature in its fundamental form and its relevance as a reflection of the Creator, as well as the negative byproducts that come as a result of detachment from that natural world. Inspiring, enlightening and uplifting, this is a must-read spiritual manifesto for a better way of life and a better world around us.

Includes about 55,000 individual mining and mineral industry term entries with about 150,000 definitions under these terms.

The Office of Industrial Technologies (OIT) of the U. S. Department of Energy commissioned the National Research Council (NRC) to undertake a study on required technologies for the Mining Industries of the Future Program to complement information provided to the program by the National Mining Association. Subsequently, the National Institute for Occupational Safety and Health also became a sponsor of this study, and the Statement of Task was expanded to include health and safety. The overall objectives of this study are: (a) to review available information on the U.S. mining industry; (b) to identify critical research and development needs related to the exploration, mining, and processing of coal, minerals, and metals; and (c) to examine the federal contribution to research and development in mining processes.

Corporations are among the most powerful institutions of our time, but they are also responsible for a wide range of harmful social and environmental impacts. Consequently, political movements and nongovernmental organizations increasingly contest the risks that corporations pose to people and nature. Mining Capitalism examines the strategies through which corporations manage their relationships with these critics and adversaries. By focusing on the conflict over the Ok Tedi copper and gold mine in Papua New Guinea, Stuart Kirsch tells the story of a slow-moving environmental disaster and the international network of indigenous peoples, advocacy groups, and lawyers that sought to protect local rivers and rain forests. Along the way, he analyzes how corporations promote their interests by manipulating science and invoking the discourses of sustainability and social responsibility. Based on two decades of anthropological research, this book is comparative in scope, showing readers how similar dynamics operate in other industries around the world.

What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.

Features essays that combine research, critical analyses and theoretical approaches regarding the meaning and value of amateur and archival films. This book identifies home movies as methods of visually preserving history. It defines a genre of film studies and establishes the home movie as a tool for extracting historical and social insights.

Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author—a noted expert on the topic—explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that: • Explores big data and cloud computing • Examines deep learning • Includes information on convolutional neural networks (CNN) • Offers reinforcement learning • Contains semi-supervised learning and S3VM • Reviews model evaluation for unbalanced data Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.