"Why Mining?" Professor Leslie Crouch asked the Author when being interviewed at the beginning of Third Year Engineering at the University of British Columbia in 1948. Giving an answer saying something like "...having always lived in or near mining towns, I enjoyed the people." It was a pretty lame answer but it was the best that could be given at the time. The Author's bibliography covers employment in Sheep Creek Gold Mines, Malartic Goldfields, Steep Rock Iron Mines, Rockiron, IMC, Cominco and Texasgulf Kidd Creek of a period of 35 years and then consulting on his own for 17 years. In his career, mining activities took him to many of the states in the US as well as all provinces and territories in Canada and to foreign assignments in Scandinavia, China and Kazakhstan. The question of "Why Mining?" is finally resolved or concluded in the Epilogue... "What other endevour could provide more fun than Mining? Mining had everything one would ever want in a career. There was travel, there was money to spend, there was money to be made, but most of all, there were people." Perhaps the answer given in 1948 was not too far off-the-mark because the Author did mention he enjoyed the people. This biography of a mining engineer's career (spanning the years of 1948 to 2000, a period of over 50 years) is about the "Mining People" met in the pursuit of his profession.
Why did capitalism and colonialism arise in Europe and not elsewhere? Why were parliamentarian and democratic forms of government founded there? What factors led to Europe’s unique position in shaping the world? Thoroughly researched and persuasively argued, Why Europe? tackles these classic questions with illuminating results. Michael Mitterauer traces the roots of Europe’s singularity to the medieval era, specifically to developments in agriculture. While most historians have located the beginning of Europe’s special path in the rise of state power in the modern era, Mitterauer establishes its origins in rye and oats. These new crops played a decisive role in remaking the European family, he contends, spurring the rise of individualism and softening the constraints of patriarchy. Mitterauer reaches these conclusions by comparing Europe with other cultures, especially China and the Islamic world, while surveying the most important characteristics of European society as they took shape from the decline of the Roman empire to the invention of the printing press. Along the way, Why Europe? offers up a dazzling series of novel hypotheses to explain the unique evolution of European culture.
Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem. This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis -- such as data mining -- can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations. · Teaches how to discover, construct and refine models that are useful in business situations · Teaches how to design, discover and develop the data necessary for mining · Provides a practical approach to mining data for all business situations · Provides a comprehensive, easy-to-use, fully interactive methodology for building models and mining data · Provides pointers to supplemental online resources, including a downloadable version of the methodology and software tools.
The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.
The whole truth about Bitcoin…So you can decide for yourself ! Bitcoin: it’s the worldwide virtual currency everyone’s talking about. But most explanations of Bitcoin are completely bewildering—they’re either written by people in thrall with it or by those appalled by the very notion of an alternative currency. What’s the real story? How does Bitcoin work? Where did it come from? What’s it good for? How do you get, store, and spend Bitcoins? And should you? The Ultimate Guide to Bitcoin answers all your questions—honestly, objectively, and in plain English. Michael Miller has spent his life demystifying complicated ideas and technologies: he’s helped more than 1,000,000 readers in over 150 easy-tounderstand books. Now, he explains Bitcoin in ways everyone can understand. Miller will help you decide for yourself if Bitcoin should be part of your life. And if the answer is “Yes,” he’ll help you make the most of it! Is Bitcoin the currency of the future—or just the latest scam? Why does anyone think Bitcoins have value? Are Bitcoins legal? Are Bitcoins really untraceable? How and where can I buy Bitcoins? How do I choose a Bitcoin exchange? How do I find out what my Bitcoins are worth? Can I trade Bitcoin just like other currencies? Can I really mine my own new Bitcoins? Is Bitcoin taxable? Where should I store my Bitcoins? How much Bitcoin fraud and theft really exists? Which merchants accept Bitcoin? How safe—or risky—is Bitcoin? How does Bitcoin compare to other virtual currencies? What’s the future of Bitcoin?
Multimedia Mining: A Highway to Intelligent Multimedia Documents brings together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines. Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.
A Visual Approach to Beating the Financial Markets Using Exchange-Traded Funds
Author: John J. Murphy
Publisher: John Wiley & Sons
Category: Business & Economics
A visual guide to market trading using intermarket analysis and exchange-traded funds With global markets and asset classes growing even more interconnected, intermarket analysis—the analysis of related asset classes or financial markets to determine their strengths and weaknesses—has become an essential part of any trader's due diligence. In Trading with Intermarket Analysis, John J. Murphy, former technical analyst for CNBC, lays out the technical and intermarket tools needed to understand global markets and illustrates how they help traders profit in volatile climates using exchange-traded funds. Armed with a knowledge of how economic forces impact various markets and financial sectors, investors and traders can profit by exploiting opportunities in markets about to rise and avoiding those poised to fall. Trading with Intermarket Analysis provides advice on trend following, chart patterns, moving averages, oscillators, spotting tops and bottoms, using exchange-traded funds, tracking market sectors, and the new world of intermarket relationships, all presented in a highly visual way. Gives readers a visually rich introduction to the world of intermarket analysis, the ultimate tool for beating the markets Provides practical advice on trend following, chart patterns, moving averages, oscillators, spotting tops and bottoms, using exchange-traded funds, tracking market sectors, and intermarket relationships Includes appendices on Japanese candlesticks and point-and-figure charting Comprehensive and easy-to-use, Trading with Intermarket Analysis presents the most important concepts related to using exchange-traded funds to beat the markets in a visually accessible format.
Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects Complete classroom support for instructors at www.mkp.com/datamining2e companion site