Having heard the amazing and alluring accounts of seafaring men who spoke of a strange land at the edge of the western oceans reach, Rough Hurech assembles a group of adventurous men and tells them a tale of fame and glory and vast Templar riches that awaits each man brave enough to follow him across the storm tossed sea. The Staffordshire Men as they are called, assemble at Hurech Manor where they kiss their wives and children goodbye to seek out fame and fortune. As they follow their lord Rough Hurech to their destinies, they find reality is far different from the promise.

This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. The book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms. The book provides an essential reference guide for students, researchers, and developers working in the areas of feature selection, knowledge discovery, and reasoning with uncertainty, especially those who are working in RST and granular computing. The primary audience of this book is the research community using rough set theory (RST) to perform feature selection (FS) on large-scale datasets in various domains. However, any community interested in feature selection such as medical, banking, and finance can also benefit from the book. This second edition also covers the dominance-based rough set approach and fuzzy rough sets. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle. In turn, fuzzy rough sets are fuzzy generalizations of rough sets. An API library for the DRSA is also provided with the second edition of the book.

From first economic principles to the financial crisis The Rough Guide to Economics takes you through the financial crisis of 2007 and 2008 and its resulting global problems and explores economics right from its foundations to the present day. Issues caused by the recent financial crisis continue to dominate news across the world and if you want to gain a clear understanding of how economics are central to your world, the Rough Guide to Economics is the ideal no-nonsense guide for you. It explains everything you need to know about monetary policy, inflation, international trade and all the major topics within economics. With the election not too far off it also provides clear-cut information on government tax and spending decisions. You'll discover how economics can illuminate topics as diverse as globalization and development, climate change, and poverty. You'll even be able to see the relevance of economics to topics closer to home such as friendship, smoking and K-pop, and how findings from psychology have influenced economic thinking. Whether you want to learn about economics for work or studies, need a handy reference, or want a clear understanding of the effect of economics on your world, the Rough Guide to Economics is the book for you, with no knowledge of mathematics required. Now available in ePub format.

Whether you're heading off on a gap year or taking a sabbatical, the new full-colour The Rough Guide to First-Time Around the World will be indispensable when planning your trip. From the big things (entry requirements, round-the-world tickets) to the very smallest (how many pairs of socks you'll need), this guide has you covered. Beyond the inspirational section on how to enrich your trip, it includes maps, regional profiles, an FAQ section, a directory and plenty of practical, budget-conscious tips. The Rough Guide to First-Time Around the World also contains a well-researched selection of the best the internet has to offer independent travellers, from using your phone abroad to the best services available through the new sharing economy, plus information on staying safe on the road and how to pick volunteer programmes wisely. Planning your first trip around the world can be daunting for even veteran travellers, but the Rough Guides author leads you through the process with experience, insight and humour, showing you how to create your own journey - not just how to tick off everything you're "supposed" to see.

Rough Draft draws the curtain on the race and class inequities of the Selective Service during the Vietnam War. Amy J. Rutenberg argues that policy makers' idealized conceptions of Cold War middle-class masculinity directly affected whom they targeted for conscription and also for deferment. Federal officials believed that college educated men could protect the nation from the threat of communism more effectively as civilians than as soldiers. The availability of deferments for this group mushroomed between 1945 and 1965, making it less and less likely that middle-class white men would serve in the Cold War army. Meanwhile, officials used the War on Poverty to target poorer and racialized men for conscription in the hopes that military service would offer them skills they could use in civilian life. As Rutenberg shows, manpower policies between World War II and the Vietnam War had unintended consequences. While some men resisted military service in Vietnam for reasons of political conscience, most did so because manpower polices made it possible. By shielding middle-class breadwinners in the name of national security, policymakers militarized certain civilian roles—a move that, ironically, separated military service from the obligations of masculine citizenship and, ultimately, helped kill the draft in the United States.

This book constitutes the refereed proceedings of the International Conference on Rough Sets and Emerging Intelligent Systems Paradigms, RSEISP 2007, held in Warsaw, Poland in June 2007 - dedicated to the memory of Professor Zdzislaw Pawlak. The 73 revised full papers papers presented together with 2 keynote lectures and 11 invited papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on foundations of rough sets, foundations and applications of fuzzy sets, granular computing, algorithmic aspects of rough sets, rough set applications, rough/fuzzy approach, information systems and rough sets, data and text mining, machine learning, hybrid methods and applications, multiagent systems, applications in bioinformatics and medicine, multimedia applications, as well as web reasoning and human problem solving.