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📖 Regulating Health and Safety in the British Mining Industries, 1800-1914

Monday, December 24, 2018 by dev

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Regulating Health and Safety in the British Mining Industries, 1800-1914
By:Catherine Mills
Published on 2010 by Ashgate Publishing, Ltd.


This book explores the emergence and growth of state responsibility for safer and healthier working practices in British mining and the responses of labour and industry to expanding regulation and control. As such it will be valuable to all those with an interest in medical history, occupational health, legal history, and the social history of work in the nineteenth century.

This Book was ranked at 6 by Google Books for keyword mining.

Book ID of Regulating Health and Safety in the British Mining Industries, 1800-1914's Books is nchHhYmdmXwC, Book which was written byCatherine Millshave ETAG "P85ztADLImM"

Book which was published by Ashgate Publishing, Ltd. since 2010 have ISBNs, ISBN 13 Code is 9780754660873 and ISBN 10 Code is 0754660877

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Book which have "284 Pages" is Printed at BOOK under CategoryHistory

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📖 Privacy

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Privacy
By:Linda D. Koontz
Published on 2007-08-01 by DIANE Publishing


A May 2006 data breach at the Dept. of Veterans Affairs (VA) & other similar incidents since then have heightened awareness of the importance of protecting computer equipment containing personally identifiable info. & responding effectively to a breach that poses privacy risks. This report identifies lessons learned from the VA data breach & other similar fed. data breaches regarding effectively notifying gov¿t. officials & affected individuals about data breaches. The author analyzed documentation & interviewed officials at VA & 5 other agencies regarding their responses to data breaches & their progress in implementing standardized data breach notification procedures. Includes recommendations. Charts & tables.

This Book was ranked at 22 by Google Books for keyword data.

Book ID of Privacy's Books is sf7i0YayoHcC, Book which was written byLinda D. Koontzhave ETAG "SDd6iiPb3eQ"

Book which was published by DIANE Publishing since 2007-08-01 have ISBNs, ISBN 13 Code is 9781422315521 and ISBN 10 Code is 1422315525

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📖 Statistical Analysis of Spherical Data

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Statistical Analysis of Spherical Data
By:N. I. Fisher,T. Lewis,B. J. J. Embleton
Published on 1987 by Cambridge University Press


This is the first comprehensive, yet clearly presented, account of statistical methods for analysing spherical data. The analysis of data, in the form of directions in space or of positions of points on a spherical surface, is required in many contexts in the earth sciences, astrophysics and other fields, yet the methodology required is disseminated throughout the literature. Statistical Analysis of Spherical Data aims to present a unified and up-to-date account of these methods for practical use. The emphasis is on applications rather than theory, with the statistical methods being illustrated throughout the book by data examples.

This Book was ranked at 12 by Google Books for keyword data.

Book ID of Statistical Analysis of Spherical Data's Books is yK4Quuq9tRgC, Book which was written byN. I. Fisher,T. Lewis,B. J. J. Embletonhave ETAG "a2RBkNftwzc"

Book which was published by Cambridge University Press since 1987 have ISBNs, ISBN 13 Code is 9780521456999 and ISBN 10 Code is 0521456991

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Book which have "329 Pages" is Printed at BOOK under CategoryMathematics

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📖 Data Mining

Sunday, December 23, 2018 by dev

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Data Mining
By:Robert Stahlbock,Sven F. Crone,Stefan Lessmann
Published on 2009-11-10 by Springer Science & Business Media


Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics, web-usage mining, and text and image recognition to prominent business applications in corporate planning, direct marketing, and credit scoring. Research in information systems equally reflects this inter- and multidisciplinary approach, thereby advocating a series of papers at the intersection of data mining and information systems research. This special issue of Annals of Information Systems contains original papers and substantial extensions of selected papers from the 2007 and 2008 International Conference on Data Mining (DMIN’07 and DMIN’08, Las Vegas, NV) that have been rigorously peer-reviewed. The issue brings together topics on both information systems and data mining, and aims to give the reader a current snapshot of the contemporary research and state of the art practice in data mining.

This Book was ranked at 37 by Google Books for keyword mining.

Book ID of Data Mining's Books is 9WHNWT7HoNQC, Book which was written byRobert Stahlbock,Sven F. Crone,Stefan Lessmannhave ETAG "h52D5DvvyRo"

Book which was published by Springer Science & Business Media since 2009-11-10 have ISBNs, ISBN 13 Code is 9781441912800 and ISBN 10 Code is 1441912800

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Book which have "387 Pages" is Printed at BOOK under CategoryComputers

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📖 Licentious Liberty in a Brazilian Gold-Mining Region

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Licentious Liberty in a Brazilian Gold-Mining Region
By:Kathleen J. Higgins
Published on 2010-11-01 by Penn State Press


This Book was ranked at 33 by Google Books for keyword mining.

Book ID of Licentious Liberty in a Brazilian Gold-Mining Region's Books is Z1cRQHDRA44C, Book which was written byKathleen J. Higginshave ETAG "E5hCYmEYrwU"

Book which was published by Penn State Press since 2010-11-01 have ISBNs, ISBN 13 Code is 9780271042558 and ISBN 10 Code is 0271042559

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Book which have " Pages" is Printed at BOOK under CategoryTechnology and Engineering

This Book was rated by 1 Raters and have average rate at "4.0"

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📖 Global Mining Investing (eBook)

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Global Mining Investing (eBook)
By:Andrew Sheldon
Published on 2014-03-25 by Andrew Sheldon


There are few sectors in the global market where passive investors are able to sustain high earnings in the current market. Among the most alluring opportunities are emerging market property, and both IT and resource equities (i.e. exposure to commodities through mining). In the commodity market, one is exposed to substantial volatility; a dangerous leveraged exposure for the untrained eye. We argue that you don’t need to expose yourself to leverage in order to achieve high yields or asset growth. We will argue that in the mining sector, it’s not our capacity to take risks that differentiates yourself as an investor, it’s your capacity to conceptualise (and plausibly to quantify) the risks that will differentiate yourself from other investors. Warren Buffet consistently makes huge returns for his investors. He does so by making use of others money, and by making ‘sure bets’. The consistency of his investment performance lies in the systematic nature or discipline of his investment strategy. His strategy however rests on using other people’s money. Our alternative strategy is to differentiate yourself in terms of knowledge rather than leverage. We outline a strategy for non-leveraged high returns. The reason why these investments are so lucrative is because few investors take the opportunity to develop their analytical skills to place themselves in a position to identify these opportunities. The government’s tax concessions for superannuation only reinforce the tread towards ‘centralized planning’ for personal savings; in the process disempowering the investor. Just as middle class investors are now discouraged from investing in mining, so are the fund managers (mostly accountants) who don’t readily grasp geological and mining concepts. Their investment criteria are intended to serve them (with large pools of money); not your modest needs. They cannot invest in small companies that you can, because of their need for liquidity. You are therefore compromising your interests by investing with them. Most investors find investment overwhelming and associate it with a great deal of apprehension. This is an entirely negative perspective of finance that we want to address. Making money should be a source of efficacy and pride. The reason people find it overwhelming is because they have not had sufficient or systematic exposure to the topic. This is indeed very tragic because the implication is that there are a great many people who are allowing their lives to be motivated by fear. Worse still is that they are enabling others to use fear to solicit certain outcomes. They sanction politicians to sensitize your fears; they pay commissions to fund managers and their associated ‘sales spruikers’ to placate your fears. The contemporary wisdom of fund managers, affirmed by academics who have never traded investments, is that risk needs to be avoided through diversification. This is their modus operandi. We accept that risks exist; but these people convey that you should accept this ‘passive’ as an inevitable market condition. We repudiate this premise because it denies certain facts (like resource companies trading at half their cash value); it diminishes people control over their personal savings; as well as ignoring the ultimate value proposition of investing; a sense of personal efficacy and pride beyond one’s career. Modern Portfolio Theory was employed by the fund management industry as a rationalisation to encourage investors to ‘avoid knowable’ risks so that they could accept exposure to systematic risk by placing their money with them. They do not deny that there are systematic risks; they simply argue that those risks will be overshadowed by long term returns if you invest for 40-50 years. This is a rationalisation of course which serves their interests. Meanwhile investors are paying the opportunity cost of exceptional returns that exist because they have discouraged investors from seeking ‘specialised knowledge’ which would allow them to differentiate themselves from others. The paradox is that the opportunity for exceptional returns in the mining sector exists because of the popularity of their approach to investors; and because of the governments ‘boom-bust’ paradigm of stimulating markets to a point where there is a ‘yield cliff’ followed by a ‘fiscal cliff’. These systemic risks will result in the greatest transfer of assets that you will ever see. How do you explain commodity prices quadrupling in a matter of years? What lack of planning or market distortion precipitates that? Only to be matched by a corresponding market collapse. These are the types of risks that need to be understood. A mindless diversification strategy will not protect people. You might want to question where you place your hard-earned cash given that we are just about to enter another stage in the global commodity cycle; during which there will be a huge expansion in mining ‘volumes’ rather than ‘prices’. We are about to experience an unprecedented expansion of industrialisation on the basis of 20-years of low inflation (i.e. low wage pressures) and high employment uptake in emerging markets. Talk of a fiscal cliff and high debt levels will quickly evaporate, and the focus will be upon global harmonisation and integration. There are no better markets to buy mining stocks than Australia and Canada, however investors will find the Australia market easier to set up a bank account. I have been investing in speculative mineral resource stocks for over 30 years. My latest book ‘Global Mining Investing‘ is the culmination of this experience and analysis. In it I reveal all the pertinent factors to consider when buying mineral resource stocks. Buy 'Global Mining Investing' at http://sheldonthinks.ecrater.com/p/16918646/global-mining-investing-2-vol-ebook

This Book was ranked at 34 by Google Books for keyword mining.

Book ID of Global Mining Investing (eBook)'s Books is zbsYGZ0SYPgC, Book which was written byAndrew Sheldonhave ETAG "953tzSxq9AY"

Book which was published by Andrew Sheldon since 2014-03-25 have ISBNs, ISBN 13 Code is 9780992249908 and ISBN 10 Code is 0992249902

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Book which have "480 Pages" is Printed at BOOK under CategoryBusiness and Economics

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📖 Modeling and Data Mining in Blogosphere

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Modeling and Data Mining in Blogosphere
By:Nitin Agarwal,Huan Liu
Published on 2009 by Morgan & Claypool Publishers


This book offers a comprehensive overview of the various concepts and research issues about blogs or weblogs. It introduces techniques and approaches, tools and applications, and evaluation methodologies with examples and case studies. Blogs allow people to express their thoughts, voice their opinions, and share their experiences and ideas. Blogs also facilitate interactions among individuals creating a network with unique characteristics. Through the interactions individuals experience a sense of community. We elaborate on approaches that extract communities and cluster blogs based on information of the bloggers. Open standards and low barrier to publication in Blogosphere have transformed information consumers to producers, generating an overwhelming amount of ever-increasing knowledge about the members, their environment and symbiosis. We elaborate on approaches that sift through humongous blog data sources to identify influential and trustworthy bloggers leveraging content and network information. Spam blogs or |splogs| are an increasing concern in Blogosphere and are discussed in detail with the approaches leveraging supervised machine learning algorithms and interaction patterns. We elaborate on data collection procedures, provide resources for blog data repositories, mention various visualization and analysis tools in Blogosphere, and explain conventional and novel evaluation methodologies, to help perform research in the Blogosphere. The book is supported by additional material, including lecture slides as well as the complete set of figures used in the book, and the reader is encouraged to visit the book website for the latest information: http: //tinyurl.com/mcp-agarwal Table of Contents: Modeling Blogosphere / Blog Clustering and Community Discovery / Influence and Trust / Spam Filtering in Blogosphere / Data Collection and Evaluation

This Book was ranked at 32 by Google Books for keyword mining.

Book ID of Modeling and Data Mining in Blogosphere's Books is FD3w9fcN-CkC, Book which was written byNitin Agarwal,Huan Liuhave ETAG "A9utMTir0aU"

Book which was published by Morgan & Claypool Publishers since 2009 have ISBNs, ISBN 13 Code is 9781598299083 and ISBN 10 Code is 1598299085

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Book which have "101 Pages" is Printed at BOOK under CategoryComputers

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📖 Underground Mining Methods

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Underground Mining Methods
By:William A. Hustrulid,W. A. Hustrulid,Richard C. Bullock
Published on 2001 by SME


Underground Mining Methods: Engineering Fundamentals and International Case Studies presents the latest principles and techniques in use today. Reflecting the international and diverse nature of the industry, a series of mining case studies is presented covering the commodity range from iron ore to diamonds extracted by operations located in all corners of the world. Industry experts have contributed sections on General Mine Design Considerations; Room-and-Pillar Mining of Hard Rock/Soft Rock; Longwall Mining of Hard Rock; Shrinkage Stoping; Sublevel Stoping; Cut-and-Fill Mining; Sublevel Caving; Panel Caving; Foundations for Design; and Underground Mining Looks to the Future.

This Book was ranked at 7 by Google Books for keyword mining.

Book ID of Underground Mining Methods's Books is N9Xpi6a5304C, Book which was written byWilliam A. Hustrulid,W. A. Hustrulid,Richard C. Bullockhave ETAG "TcOzHlpcsO8"

Book which was published by SME since 2001 have ISBNs, ISBN 13 Code is 9780873351935 and ISBN 10 Code is 0873351932

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Book which have "718 Pages" is Printed at BOOK under CategoryTechnology and Engineering

This Book was rated by 5 Raters and have average rate at "3.5"

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📖 Mathematics of Big Data

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Mathematics of Big Data
By:Jeremy Kepner,Hayden Jananthan
Published on 2018-07-13 by MIT Press


The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless devices, and cybersecurity. Indeed, these data are growing at a rate beyond our capacity to analyze them. The tools—including spreadsheets, databases, matrices, and graphs—developed to address this challenge all reflect the need to store and operate on data as whole sets rather than as individual elements. This book presents the common mathematical foundations of these data sets that apply across many applications and technologies. Associative arrays unify and simplify data, allowing readers to look past the differences among the various tools and leverage their mathematical similarities in order to solve the hardest big data challenges. The book first introduces the concept of the associative array in practical terms, presents the associative array manipulation system D4M (Dynamic Distributed Dimensional Data Model), and describes the application of associative arrays to graph analysis and machine learning. It provides a mathematically rigorous definition of associative arrays and describes the properties of associative arrays that arise from this definition. Finally, the book shows how concepts of linearity can be extended to encompass associative arrays. Mathematics of Big Data can be used as a textbook or reference by engineers, scientists, mathematicians, computer scientists, and software engineers who analyze big data.

This Book was ranked at 2 by Google Books for keyword data.

Book ID of Mathematics of Big Data's Books is 4vBoDwAAQBAJ, Book which was written byJeremy Kepner,Hayden Jananthanhave ETAG "2kj770lfl34"

Book which was published by MIT Press since 2018-07-13 have ISBNs, ISBN 13 Code is 9780262347914 and ISBN 10 Code is 0262347911

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Book which have "448 Pages" is Printed at BOOK under CategoryComputers

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📖 Principles of Data Management and Presentation

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Principles of Data Management and Presentation
By:John P. Hoffmann
Published on 2017-07-04 by Univ of California Press


-The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses--introductory statistics and research methods--does not provide sufficient information about data, learning to work with data sets, or how to present data to various audiences. This book is designed for these purposes. It discusses how data are used in research projects, where to get data, how to manage them with software, and how to present them so that one's message comes through clearly. With few expectations beyond some familiarity with basic statistics and research methods, this book provides a comprehensive set of principles for understanding and using data as part of a research project---Provided by publisher.

This Book was ranked at 27 by Google Books for keyword data.

Book ID of Principles of Data Management and Presentation's Books is LRu-DgAAQBAJ, Book which was written byJohn P. Hoffmannhave ETAG "R5ldWrk/E6Y"

Book which was published by Univ of California Press since 2017-07-04 have ISBNs, ISBN 13 Code is 9780520289956 and ISBN 10 Code is 0520289951

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Book which have "288 Pages" is Printed at BOOK under CategoryScience

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