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.

Mining is the foremost source of minerals that all countries find essential for maintaining and improving their standards of living. Mined materials are needed to construct roads and hospitals, to build automobiles and houses, to make computers and satellites, to generate electricity, and to provide many other goods and services that consumers enjoy. The high tech industries and even the better known resource industries are all dependent, in some way, on the mining industry. But exploring, extraction and processing of minerals require big material and labour costs and there is a big number of acute problems to face, such as: environment and water pollution, worsening of mining-geological conditions, depletion of minerals that can be extracted only by conventional methods, rock pressure manifestation, big depths of the deposits and transportation of the minerals on the surface. In order to find modern solutions there is a big number of scientists and engineers all over the world dedicating their research to most current problems and inventions of innovative technologies and techniques in mining. Some of the most important results of such research is presented in this book and covers the following topics: management of strain and stress state of the massif, underground coal gasification, substantiation of rational parameters of various types of support, ventilation in underground openings, design of mine workings and other vital questions.

Tech Mining makes exploitation of text databases meaningful tothose who can gain from derived knowledge about emergingtechnologies. It begins with the premise that we have theinformation, the tools to exploit it, and the need for theresulting knowledge. The information provided puts new capabilities at the hands oftechnology managers. Using the material present, these managers canidentify and access the most valuable technology informationresources (publications, patents, etc.); search, retrieve, andclean the information on topics of interest; and lower the costsand enhance the benefits of competitive technological intelligenceoperations.

Offering the first in-depth global analysis of the innovation ecosystem in the mining industry, this book is aimed at policy-makers and academia alike. A wide range of international contributors assess this from different perspectives, using both a novel mining patent and innovation database and a wide set of analytical approaches.

This book gives a brief history and a general overview of the state of surface mining technology with topics ranging from the principles to surface mining methods, systems, and pit planning design. It starts with the definition of surface mine and ends with land reclamation and mine closure. The following chapters address the basics of mineral economics, calculation of stripping ratio; exploitation of difficult parts of ore deposits, slope stability, controlling falls and slides in the surface mines, sorts of freight traffic, scrapers, bulldozers, and loaders. The book serves as a reference text for mining students, engineers, and geologists.

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision sup

"This book provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage, it will provide libraries with the defining reference on this topic"--Provided by publisher.