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Creating Collaborative Advantage Through Knowledge and Innovation
Selected from the prestigious 2006 International Conference on Knowledge Management held in Greenwich, London, this volume represents much of the best and most up-to-date work by researchers and practitioners in the field of knowledge management (KM). It covers a wide range of topics that include social network analysis, innovation and creativity, KM tools and technologies, social network technologies, collaboration and knowledge sharing, issues in KM education and training, knowledge discovery (data mining, data warehousing, intelligent agents), knowledge organization (meta data, taxonomies, ontology), and social and psychological dimensions.This book has been selected for coverage in: ? Index to Scientific & Technical Proceedings? (ISTP?/ISI Proceedings)? Index to Scientific & Technical Proceedings (ISTP CDROM version/ISI Proceedings)? Index to Social Sciences & Humanities Proceedings? (ISSHP?/ISI Proceedings)? Index to Social Sciences & Humanities Proceedings (ISSHP CDROM version/ISI Proceedings)
Life Distributions
This book is devoted to the study of univariate distributions appropriate for the analyses of data known to be nonnegative. The book includes much material from reliability theory in engineering and survival analysis in medicine.
Signal Processing and Machine Learning Theory
Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc. - Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools - Presents core principles in signal processing theory and shows their applications - Discusses some emerging signal processing tools applied in machine learning methods - References content on core principles, technologies, algorithms and applications - Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge
Modeling and Simulation in Engineering, Economics, and Management
This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics, and Management, MS 2013, held in Castellón de la Plana, Spain, in June 2013. The event was co-organized by the AMSE Association and the SoGReS Research Group of the Jaume I University. This edition of the conference paid special attention to modeling and simulation in diverse fields of business management. The 28 full papers in this book were carefully reviewed and selected from 65 submissions. They are organized in topical sections on: modeling and simulation in CSR and sustainable development; modeling and simulation in finance and accounting; modeling and simulation in management and marketing; modeling and simulation in economics and politics; knowledge-based expert and decision support systems; and modeling and simulation in engineering.
Econometrics and Income Inequality
This book is a printed edition of the Special Issue "Econometrics and Income Inequality" that was published in Econometrics
Income Distribution Dynamics of Economic Systems
An overview of the distributive dynamics of economic systems in a broad theoretical and empirical sense from the econophysical viewpoint.
Goodness-of-Fit Tests and Model Validity
The 37 expository articles in this volume provide broad coverage of important topics relating to the theory, methods, and applications of goodness-of-fit tests and model validity. The book is divided into eight parts, each of which presents topics written by expert researchers in their areas. Key features include: * state-of-the-art exposition of modern model validity methods, graphical techniques, and computer-intensive methods * systematic presentation with sufficient history and coverage of the fundamentals of the subject * exposure to recent research and a variety of open problems * many interesting real life examples for practitioners * extensive bibliography, with special emphasis on recent literature * subject index This comprehensive reference work will serve the statistical and applied mathematics communities as well as practitioners in the field.
An Enduring Quest
This wide-ranging book tells the story of industrial engineering, its genesis in the Industrial Revolution, its explosive growth in the twentieth century, and its relevance today. Vital contributions of the trailblazers are described, from Robert Owen and Eli Whitney in colonial times, to the scientific management champions Frederick Taylor and Frank and Lillian Gilbreth a century later. The author chronicles the evolution of the industrial engineering program at Purdue, which was crucial to the University's founding, and he considers the future direction of the discipline, suggesting ways for it to fulfill its quest of providing essential products and services in a global, sustainable, and equitable way.
