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Mathematical statistics --- Biology --- Business economics --- Computer science --- Information systems --- Computer. Automation --- patroonherkenning --- factoranalyse --- bedrijfseconomie --- cryptologie --- biologie --- informatica --- statistiek --- econometrie --- programmatielogica --- informatica management
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Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. They cover general methods and techniques that can be applied to a vast set of applications such as in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science. This volume contains the revised versions of selected papers presented during the 11th Biennial IFCS Conference and 33rd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was organized in cooperation with the International Federation of Classification Societies (IFCS), and was hosted by Dresden University of Technology, Germany, in March 2009.
Statistical science --- Operational research. Game theory --- Probability theory --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- waarschijnlijkheidstheorie --- datamining --- stochastische analyse --- informatica --- statistiek --- KI (kunstmatige intelligentie) --- kansrekening --- data acquisition --- statistisch onderzoek --- AI (artificiële intelligentie)
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A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms. It emphasizes recurring themes in all statistical algorithms, including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, the book reviews the upcoming challenge of scaling many of the established techniques to very large data sets and delves into systematic verification by demonstrating how to derive general classes of worst case inputs and emphasizing the importance of testing over a large number of different inputs. Broadly accessible, the book offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website.After working through the material covered in the book, readers should not only understand current algorithms but also gain a deeper understanding of how algorithms are constructed, how to evaluate new algorithms, which recurring principles are used to tackle some of the tough problems statistical programmers face, and how to take an idea for a new method and turn it into something practically useful.
Statistics --- Algorithms --- R (Computer program language) --- Data processing --- Algorithms. --- Mathematics --- Data processing. --- Probability & Statistics --- General. --- Statistics - Data processing
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This volume contains revised versions of selected papers presented during the 28th Annual Conference of the Gesellschaft fur ¨ Klassi?kation (GfKl), the German Classi?cation Society. The conference was held at the Universit¨ at Dortmund in Dortmund, Germany, in March 2004. Wolfgang Gaul chaired the program committee, Claus Weihs and Ernst-Erich Doberkat were the local organizers. Patrick Groenen, Iven van Mechelen, and their colleagues of the Vereniging voor Ordinatie en Classi?catie (VOC), the Dutch-Flemish Classi?cation Society, organized special VOC sessions. The programcommittee recruited17 notable and internationallyreno- ed invited speakers for plenary and semi-plenary talks on their current - search work regarding classi?cation and data analysis methods as well as - plications.Inaddition,172invitedandcontributedpapersbyauthorsfrom18 countrieswerepresentedatthe conferencein 52parallelsessionsrepresenting the whole ?eld addressed by the title of the conference Classi?cation: The Ubiquitous Challenge . Among these 52 sessions the VOC organizedsessions on Mixture Modelling, Optimal Scaling, Multiway Methods, and Psychom- ricswith18papers.Overall,theconference,whichistraditionallydesignedas an interdisciplinary event, again provided an attractive forum for discussions and mutual exchange of knowledge. Besides the results obtained in the fundamental subjects Classi?cation and Data Analysis, the talks in the applied areas focused on various app- cation topics. Moreover, along with the conference a competition on Social Milieus in Dortmund , co-organized by the city of Dortmund, took place. Hence the presentation of the papers in this volume is arranged in the f- lowing parts: I. (Semi-)Plenary Presentations II. Classi?cation and Data Analysis III. Applications, and IV. Contest: Social Milieus in Dortmund.
Mathematical statistics --- Biology --- Business economics --- Computer science --- Information systems --- Computer. Automation --- patroonherkenning --- factoranalyse --- bedrijfseconomie --- cryptologie --- biologie --- informatica --- statistiek --- econometrie --- programmatielogica --- informatica management
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This book offers a broad selection of statistical applications to everyday situations, illustrating how exciting and diverse statistical analysis can be. It covers a wide variety of topics, including offering hearing-impaired people the option to enjoy music, extracting meaningful quantitative data from texts, and modeling flood disasters to help get a better grip on them. Most of the examples are not typically found in textbooks but directly relate to real-life problems encountered by the “average person”, including topics relevant for sustainable development. Technical jargon and formalism have been avoided as much as possible, and a detailed statistical background is not assumed of the reader, making the book accessible to anyone interested in current research in statistical applications. Providing an unobscured look at a thoroughly fascinating science, it will help students to develop enthusiasm for statistical issues and methods, and may even inspire ideas for their ownprojects.
Statistics. --- Quantitative research. --- Mathematics. --- Applied Statistics. --- Data Analysis and Big Data. --- Mathematics in Popular Science.
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This book offers a broad selection of statistical applications to everyday situations, illustrating how exciting and diverse statistical analysis can be. It covers a wide variety of topics, including offering hearing-impaired people the option to enjoy music, extracting meaningful quantitative data from texts, and modeling flood disasters to help get a better grip on them. Most of the examples are not typically found in textbooks but directly relate to real-life problems encountered by the “average person”, including topics relevant for sustainable development. Technical jargon and formalism have been avoided as much as possible, and a detailed statistical background is not assumed of the reader, making the book accessible to anyone interested in current research in statistical applications. Providing an unobscured look at a thoroughly fascinating science, it will help students to develop enthusiasm for statistical issues and methods, and may even inspire ideas for their ownprojects.
Statistical science --- Mathematical statistics --- Mathematics --- statistiek --- wiskunde --- Statistics. --- Quantitative research. --- Mathematics. --- Applied Statistics. --- Data Analysis and Big Data. --- Mathematics in Popular Science. --- Mathematical statistics.
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This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems. The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.
Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Social sciences --- Statistics. --- Statistical Theory and Methods. --- Statistics and Computing/Statistics Programs. --- Methodology of the Social Sciences. --- Statistics for Social Sciences, Humanities, Law. --- Methodology. --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Statistics . --- Social sciences. --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization
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Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. They cover general methods and techniques that can be applied to a vast set of applications such as in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science. This volume contains the revised versions of selected papers presented during the 11th Biennial IFCS Conference and 33rd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was organized in cooperation with the International Federation of Classification Societies (IFCS), and was hosted by Dresden University of Technology, Germany, in March 2009.
Statistical science --- Operational research. Game theory --- Probability theory --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- waarschijnlijkheidstheorie --- datamining --- stochastische analyse --- informatica --- statistiek --- KI (kunstmatige intelligentie) --- kansrekening --- data acquisition --- statistisch onderzoek
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This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems. The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.
Social sciences (general) --- Statistical science --- Mathematical statistics --- Computer. Automation --- informatica --- sociale wetenschappen --- statistiek --- methodologieën --- statistisch onderzoek
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