Encyclopedia of Data Warehousing and Mining, Second Edition
Encyclopedia of Data Warehousing and Mining, Second Edition

Author: Wang, John

Publisher: IGI Global

Published: 2008-08-31

Total Pages: 2542

ISBN-13: 1605660116

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There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.

Discrete Choice Methods with Simulation
Discrete Choice Methods with Simulation

Author: Kenneth Train

Publisher: Cambridge University Press

Published: 2009-07-06

Total Pages: 399

ISBN-13: 0521766559

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This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Statistical Methods in Spatial Epidemiology
Statistical Methods in Spatial Epidemiology

Author: Andrew B. Lawson

Publisher: John Wiley & Sons

Published: 2013-07-08

Total Pages: 302

ISBN-13: 1118723171

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Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, ecological analysis, disease clustering, bio-terrorism, space-time analysis, surveillance and infectious disease modelling. Provides a comprehensive overview of the main statistical methods used in spatial epidemiology. Updated to include a new emphasis on bio-terrorism and disease surveillance. Emphasizes the importance of space-time modelling and outlines the practical application of the method. Discusses the wide range of software available for analyzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software. Contains numerous data sets, each representing a different approach to the analysis, and provides an insight into various modelling techniques. This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies.

Bayesian Reasoning and Machine Learning
Bayesian Reasoning and Machine Learning

Author: David Barber

Publisher: Cambridge University Press

Published: 2012-02-02

Total Pages: 739

ISBN-13: 0521518148

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A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001[
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001[

Author: Wiro J. Niessen

Publisher: Springer Science & Business Media

Published: 2001-10-02

Total Pages: 1482

ISBN-13: 3540426973

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This book constitutes the refereed proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001, held in Utrecht, The Netherlands, in October 2001. The 122 revised papers and 136 posters presented were carefully reviewed and selected from a total of 338 submissions. The book offers topical sections on image-guided surgery; shape analysis, segmentation, computer-aided diagnosis; registration; simulation, planning and modeling; visualization; quantitative image analysis; medical robotics and devices; visualization and augmented reality; and time series analysis.

ECAI 2016
ECAI 2016

Author: G.A. Kaminka

Publisher: IOS Press

Published: 2016-08-24

Total Pages: 1860

ISBN-13: 1614996725

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Artificial Intelligence continues to be one of the most exciting and fast-developing fields of computer science. This book presents the 177 long papers and 123 short papers accepted for ECAI 2016, the latest edition of the biennial European Conference on Artificial Intelligence, Europe’s premier venue for presenting scientific results in AI. The conference was held in The Hague, the Netherlands, from August 29 to September 2, 2016. ECAI 2016 also incorporated the conference on Prestigious Applications of Intelligent Systems (PAIS) 2016, and the Starting AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume; the papers from STAIRS are published in a separate volume in the Frontiers in Artificial Intelligence and Applications (FAIA) series. Organized by the European Association for Artificial Intelligence (EurAI) and the Benelux Association for Artificial Intelligence (BNVKI), the ECAI conference provides an opportunity for researchers to present and hear about the very best research in contemporary AI. This proceedings will be of interest to all those seeking an overview of the very latest innovations and developments in this field.