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This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical sciences, and other disciplines. In addition to sharing theoretical and methodological findings, the book shows how to apply the proposed methods to a variety of problems — e.g. in consumer behavior, decision-making, marketing data and social network structures. Both methodological aspects and applications to a wide range of areas such as economics, behavioral science, marketing science, management science and the social sciences are covered. The book is chiefly intended for researchers and practitioners who are interested in the latest developments and practical applications in these fields, as well as applied statisticians and data analysts. Its combination of methodological advances with a wide range of real-world applications gathered from several fields makes it of unique value in helping readers solve their research problems.
Statistics . --- Mathematics. --- Visualization. --- Social sciences. --- Social sciences—Data processing. --- Social sciences—Computer programs. --- Motivation research (Marketing). --- Applied Statistics. --- Statistical Theory and Methods. --- Methodology of the Social Sciences. --- Computational Social Sciences. --- Consumer Behavior. --- Advertising --- Marketing research --- Motivation (Psychology) --- Research --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Visualisation --- Imagination --- Visual perception --- Imagery (Psychology) --- Math --- Science --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Psychological aspects --- Mathematical statistics
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This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts. .
Statistics . --- Motivation research (Marketing). --- Mathematics. --- Visualization. --- Social sciences. --- Psychometrics. --- Statistics for Social Sciences, Humanities, Law. --- Statistical Theory and Methods. --- Consumer Behavior. --- Methodology of the Social Sciences. --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Visualisation --- Imagination --- Visual perception --- Imagery (Psychology) --- Math --- Science --- Advertising --- Marketing research --- Motivation (Psychology) --- Research --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Measurement --- Scaling --- Methodology --- Psychological aspects --- Consumer behavior. --- Behavior, Consumer --- Buyer behavior --- Decision making, Consumer --- Human behavior --- Consumer profiling --- Market surveys
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This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts. .
Psychology --- Social sciences (general) --- Statistical science --- Mathematics --- Market research --- Computer architecture. Operating systems --- psychologie --- visualisatie --- sociale wetenschappen --- statistiek --- marktonderzoek --- wiskunde
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This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization.
Mathematical statistics -- Congresses. --- Multivariate analysis -- Congresses. --- Cluster analysis --- Classification --- Computer Science --- Mathematical Statistics --- Engineering & Applied Sciences --- Mathematics --- Physical Sciences & Mathematics --- Classification. --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Knowledge, Classification of --- Mathematics. --- Business. --- Management science. --- Life sciences. --- Computer software. --- Probabilities. --- Statistics. --- Probability Theory and Stochastic Processes. --- Life Sciences, general. --- Mathematical Software. --- Statistics and Computing/Statistics Programs. --- Data Mining and Knowledge Discovery. --- Business and Management, general. --- Database searching --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Software, Computer --- Computer systems --- Biosciences --- Sciences, Life --- Science --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Trade --- Economics --- Commerce --- Industrial management --- Math --- Information organization --- Distribution (Probability theory. --- Mathematical statistics. --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Distribution functions --- Frequency distribution --- Characteristic functions --- Statistics .
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Psychology --- Social sciences (general) --- Statistical science --- Mathematics --- Market research --- Computer architecture. Operating systems --- psychologie --- visualisatie --- sociale wetenschappen --- statistiek --- marktonderzoek --- wiskunde
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Molecular biology --- Business management --- Programming --- Information systems --- Computer. Automation --- informatica --- management --- statistiek --- bedrijfskunde --- database management --- gegevensanalyse --- handelswetenschappen --- moleculaire biologie
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This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization.
Molecular biology --- Business management --- Programming --- Information systems --- Computer. Automation --- informatica --- management --- statistiek --- bedrijfskunde --- database management --- gegevensanalyse --- handelswetenschappen --- moleculaire biologie
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Social sciences (general) --- Statistical science --- Social sciences --- Mathematics --- Market research --- Computer architecture. Operating systems --- Information systems --- visualisatie --- sociale wetenschappen --- computerprogramma's --- statistiek --- marktonderzoek --- wiskunde --- gegevensverwerking
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This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical sciences, and other disciplines. In addition to sharing theoretical and methodological findings, the book shows how to apply the proposed methods to a variety of problems — e.g. in consumer behavior, decision-making, marketing data and social network structures. Both methodological aspects and applications to a wide range of areas such as economics, behavioral science, marketing science, management science and the social sciences are covered. The book is chiefly intended for researchers and practitioners who are interested in the latest developments and practical applications in these fields, as well as applied statisticians and data analysts. Its combination of methodological advances with a wide range of real-world applications gathered from several fields makes it of unique value in helping readers solve their research problems.
Social sciences (general) --- Statistical science --- Social sciences --- Mathematics --- Market research --- Computer architecture. Operating systems --- Information systems --- visualisatie --- sociale wetenschappen --- computerprogramma's --- statistiek --- marktonderzoek --- wiskunde --- gegevensverwerking
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