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Author: Christian Hennig
Publisher: CRC Press
Published: 2015-12-16
Total Pages: 753
ISBN-13: 1466551895
DOWNLOAD EBOOKHandbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.The
Author: Chi Hau Chen
Publisher: World Scientific
Published: 1999-03-12
Total Pages: 1045
ISBN-13: 9814497649
DOWNLOAD EBOOKThe very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.
Author: Charlie Karlsson
Publisher: Edward Elgar Publishing
Published: 2010-01-01
Total Pages: 333
ISBN-13: 184844284X
DOWNLOAD EBOOKKarlsson has assembled a strong mix of papers that collectively provide a good sense of some of the latest research in the field. Edward Feser, Review of Regional Studies This is a book every regional scientist and spatial analyst should have on their bookshelf. Like most Handbook type publications it provides depth and breadth on the basics of the industrial clustering concept. However, unlike most of these type of collections, it goes beyond the foundation material to identify and speculate on questions that are emerging on the research frontiers such as at the intersection of cluster theory and agglomeration processes, knowledge spillovers and technology transfer not to mention the obvious link to economic development theory, policy and practice. Roger R. Stough, George Mason University, US This eclectic volume presents a host of methods to describe tendencies for the joint location of economic agents in space. And it illustrates useful applications of these concepts in diverse fields financial services, culture, tourism, and industry, to name just a few. John M. Quigley, University of California, US Clusters have increasingly dominated local and regional development policies in recent decades and the growing intellectual and political interest for clusters and clustering is the prime motivation for this Handbook. Charlie Karlsson unites leading experts to present a thorough overview of economic cluster research. Topics explored include agglomeration and cluster theory, methods for analysing clusters, clustering in different spatial contexts and clustering in service industries. Encompassing the developed economies of Europe and North America, the Handbook provides a basis for improving cluster policy formulation, interpretation and analyses. This comprehensive overview of research on economic clusters will be of interest to scholars and PhD students in (regional) economics, economic geography, regional planning and management as well as practitioners and policymakers at the national, regional and local levels involved in cluster formation and cluster management.
Author: Rajiv Grover
Publisher: SAGE
Published: 2006-06-23
Total Pages: 721
ISBN-13: 141290997X
DOWNLOAD EBOOKThe Handbook of Marketing Research comprehensively explores the approaches for delivering market insights for fact-based decision making in a market-oriented firm.
Author: Oded Maimon
Publisher: Springer Science & Business Media
Published: 2006-05-28
Total Pages: 1378
ISBN-13: 038725465X
DOWNLOAD EBOOKData Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
Author: David Byrne
Publisher: SAGE Publications
Published: 2009-07-01
Total Pages: 561
ISBN-13: 1412930510
DOWNLOAD EBOOKThis handbook provides a clear examination of case-oriented research. It defines case-based social research as a subfield of methodology.
Author: Ken Yale
Publisher: Elsevier
Published: 2017-11-09
Total Pages: 824
ISBN-13: 0124166458
DOWNLOAD EBOOKHandbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Author: Torsten Hothorn
Publisher: CRC Press
Published: 2014-06-25
Total Pages: 454
ISBN-13: 1482204584
DOWNLOAD EBOOKLike the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values, and Bayesian inference Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables Additional exercises More detailed explanations of R code New section in each chapter summarizing the results of the analyses Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses Whether you’re a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results.
Author: Sandra Eldridge
Publisher: John Wiley & Sons
Published: 2012-02-20
Total Pages: 299
ISBN-13: 0470510471
DOWNLOAD EBOOKCluster randomised trials are trials in which groups (or clusters) of individuals are randomly allocated to different forms of treatment. In health care, these trials often compare different ways of managing a disease or promoting healthy living, in contrast to conventional randomised trials which randomise individuals to different treatments, classically comparing new drugs with a placebo. They are increasingly common in health services research. This book addresses the statistical, practical, and ethical issues arising from allocating groups of individuals, or clusters, to different interventions. Key features: Guides readers through the stages of conducting a trial, from recruitment to reporting. Presents a wide range of examples with particular emphasis on trials in health services research and primary care, with both principles and techniques explained. Topics are specifically presented in the order in which investigators think about issues when they are designing a trial. Combines information on the latest developments in the field together with a practical guide to the design and implementation of cluster randomised trials. Explains principles and techniques through numerous examples including many from the authors own experience. Includes a wide range of references for those who wish to read further. This book is intended as a practical guide, written for researchers from the health professions including doctors, psychologists, and allied health professionals, as well as statisticians involved in the design, execution, analysis and reporting of cluster randomised trials. Those with a more general interest will find the plentiful examples illuminating.
Author: Howard E.A. Tinsley
Publisher: Academic Press
Published: 2000-05-22
Total Pages: 751
ISBN-13: 0080533566
DOWNLOAD EBOOKMultivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.
