Intrepid Explorer

Intrepid Explorer

Author: J. David Lowell

Publisher: University of Arizona Press

Published: 2014-10-03

Total Pages: 495

ISBN-13: 1941451004

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When seven-year-old Dave Lowell was camped out at his father’s mine in the hills of southern Arizona in 1935, he knew he had found his calling. “Life couldn’t get any better than this,” he recalls. “I didn’t know what science was, but wisps of scientific thought were already working into my plan.” So began the legendary career of the engineer, geologist, explorer, and international businessman whose life is recounted in his own words in this captivating book. An Arizona native with family roots in territorial times, Lowell grew from modest beginnings on a ranch near Nogales to become a major world figure in the fields of minerals, mining, and economic geology. He has personally discovered more copper than anyone in history and has developed multibillion-dollar gold and copper mines that have changed the economies of nations. And although he has consulted for corporations in the field of mining, he has largely operated as an independent agent and explorer, the architect of his own path and success. His life’s story unfolds in four stages: his early education in his field, on-the-job learning at sites in the United States and Mexico, development of exploration strategies, and finally, the launch of his own enterprises and companies. Recurring themes in Lowell’s life include the strict personal, ethical, and tactical policies he requires of his colleagues; his devotion to his family; and his distaste for being away from the field in a corporate office, even to this day. The magnitude of Lowell’s overall success is evident in his list of mine discoveries, as well as in his scientific achievements and the enormous respect his friends and colleagues have had for him throughout his lengthy career, which he continues to zealously pursue.


Introduction to Neural Networks and Data Mining for Business Applications

Introduction to Neural Networks and Data Mining for Business Applications

Author: Kate A. Smith

Publisher:

Published: 1999

Total Pages: 155

ISBN-13: 9781864910049

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Neural networks are a hot topic in the business community today. Also marketed as intelligent techniques, business intelligence and data mining, many businesses are now realising the potential of neural networks to give them a competitive edge. Nevertheless most neural network books are written by electrical engineers for electrical engineers, with a high level of mathematics. Those few books aimed at the business community invariably focus exclusively on financial prediction. Consequently, Introduction to Neural Networks and Data Mining for Business Applications is a ground breaking text. With a minimum of mathematics, it shows the potential of neural networks to unlock hidden information in data of various industries including retail, marketing, insurance, telecommunications, banking and finance, and operations management. The book covers the development of neural network research and its impact on business; the early neural Perceptron model and its limitations; backpropagation, the most commonly used learning paradigm in business applications; self-organisation; and adaptive resonance theory. Data mining is then covered including the purpose, methodology, and concepts of directed and undirected knowledge discovery. Other intelligent techniques often used in conjunction with neural networks are also covered, including genetic algorithms, fuzzy logic, and expert systems. The text concludes with a discussion of the future of neural networks research and applications. Extensive business case studies are used throughout the text to demonstrate techniques.


Data Mining with Neural Networks

Data Mining with Neural Networks

Author: Joseph P. Bigus

Publisher: McGraw-Hill Companies

Published: 1996

Total Pages: 248

ISBN-13:

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readers will find concrete implementation strategies, reinforced with real-world business examples and a minimum of formulas, and case studies drawn from a broad range of industries. The book illustrates the popular data mining functions of classification, clustering, modeling, and time-series forecasting--through examples developed using the IBM Neural Network Utility.


Intelligent Data Mining in Law Enforcement Analytics

Intelligent Data Mining in Law Enforcement Analytics

Author: Paolo Massimo Buscema

Publisher: Springer Science & Business Media

Published: 2012-11-28

Total Pages: 522

ISBN-13: 9400749147

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This book provides a thorough summary of the means currently available to the investigators of Artificial Intelligence for making criminal behavior (both individual and collective) foreseeable, and for assisting their investigative capacities. The volume provides chapters on the introduction of artificial intelligence and machine learning suitable for an upper level undergraduate with exposure to mathematics and some programming skill or a graduate course. It also brings the latest research in Artificial Intelligence to life with its chapters on fascinating applications in the area of law enforcement, though much is also being accomplished in the fields of medicine and bioengineering. Individuals with a background in Artificial Intelligence will find the opening chapters to be an excellent refresher but the greatest excitement will likely be the law enforcement examples, for little has been done in that area. The editors have chosen to shine a bright light on law enforcement analytics utilizing artificial neural network technology to encourage other researchers to become involved in this very important and timely field of study.


From Fundamentals to Applications in Geotechnics

From Fundamentals to Applications in Geotechnics

Author: D. Manzanal

Publisher: IOS Press

Published: 2015-12-11

Total Pages: 3344

ISBN-13: 1614996032

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The work of geotechnical engineers contributes to the creation of safe, economic and pleasant spaces to live, work and relax all over the world. Advances are constantly being made, and the expertise of the profession becomes ever more important with the increased pressure on space and resources. This book presents the proceedings of the 15th Pan-American Conference on Soil Mechanics and Geotechnical Engineering (XV PCSMGE), held in Buenos Aires, Argentina, in November 2015. This conference, held every four years, is an important opportunity for international experts, researchers, academics, professionals and geo-engineering companies to meet and exchange ideas and research findings in the areas of soil mechanics, rock mechanics, and their applications in civil, mining and environmental engineering. The articles are divided into nine sections: transportation geotechnics; in-situ testing; geo-engineering for energy and sustainability; numerical modeling in geotechnics; foundations and ground improvement; unsaturated soil behavior; embankments, dams and tailings; excavations and tunnels; and geo-risks, and cover a wide spectrum of issues from fundamentals to applications in geotechnics. This book will undoubtedly represent an essential reference for academics, researchers and practitioners in the field of soil mechanics and geotechnical engineering. In this proceedings, approximately 65% of the contributions are in English, and 35% of the contributions are in Spanish or Portuguese.


Neural Networks with SAS Enterprise Miner

Neural Networks with SAS Enterprise Miner

Author: Scientific Books

Publisher: CreateSpace

Published: 2015-06-22

Total Pages: 292

ISBN-13: 9781514652282

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SAS Institute implements data mining in Enterprise Miner software, which will be used in this book focused in Neural Networks models. SAS Institute defines the concept of Data Mining as the process of selecting (Selecting), explore (Exploring), modify (Modifying), modeling (Modeling) and rating (Assessment) large amounts of data with the aim of uncovering unknown patterns which can be used as a comparative advantage with respect to competitors. This process is summarized with the acronym SEMMA which are the initials of the 5 phases which comprise the process of Data Mining according to SAS Institute.


Phosphorus in Environmental Technology

Phosphorus in Environmental Technology

Author: E. Valsami-Jones

Publisher: IWA Publishing

Published: 2004-05-31

Total Pages: 681

ISBN-13: 1843390019

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Phosphorus in Environmental Technology: Principles and Applications, provides a definitive and detailed presentation of state-of-the-art knowledge on the environmental behaviour of phosphorus and its applications to the treatment of waters and soils. Special attention is given to phosphorus removal for recovery technologies, a concept that has emerged over the past 5-6 years. The book features an all-encompassing approach: the fundamental science of phosphorus (chemistry, geochemistry, mineralogy, biology), key aspects of its environmental behaviour and mobility, industrial applications (treatment, removal, recovery) and the principles behind such applications, novel biotechnologies and, importantly, it also addresses socio-economic issues which often influence implementation and the ultimate success of any new technology. A detailed subject index helps the reader to find their way through the different scientific and technological aspects covered, making it an invaluable reference work for students, professionals and consultants dealing with phosphorus-related environmental technologies. State-of-the-art knowledge on the behaviour of phosphorus and its applications to environmental science and technology. Covers all aspects of phosphorus in the environment, engineered and biological systems; an interdisciplinary text.


Data Mining Methods and Applications

Data Mining Methods and Applications

Author: Kenneth D. Lawrence

Publisher: CRC Press

Published: 2007-12-22

Total Pages: 334

ISBN-13: 1420013734

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With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management