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Data Science, Learning by Latent Structures, and Knowledge Discovery de Berthold Lausen

Data Science, Learning by Latent Structures, and Knowledge Discovery: Studies in Classification, Data Analysis, and Knowledge Organization

Editat de Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer
en Limba Engleză Paperback – 18 mai 2015
This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.
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Specificații

ISBN-13: 9783662449820
ISBN-10: 366244982X
Pagini: 550
Ilustrații: XXII, 560 p. 145 illus., 56 illus. in color.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.81 kg
Ediția:2015
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Classification, Data Analysis, and Knowledge Organization

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Part I Invited Papers: Modernising Official Statistics - A Complex Challenge.- A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity.- Finding the Number of Disparate Clusters with Background Contamination.- Clustering of Solar Irradiance.- Part II Data Science and Clustering: Factor Analysis of Local Formalism.- Recent progress in Complex Network Analysis – Models.- Recent Progress in Complex Network Analysis – Results.-  Similarity Measures of Concept Lattices.- Flow-Based Dissimilarities: Shortest Path, Commute Time, Max-Flow and Free Energy.- Resampling Techniques in Cluster Analysis – Is Subsampling Better Than Bootstrapping?.- On-Line Clustering of Functional Boxplots for Monitoring Multiple Streaming Time Series.- Smooth Tests of Fit for Gaussian Mixtures.- Part III Machine Learning and Knowledge Discovery: P2P RVM for Distributed Classification.- Selecting a Multi-Label Classification Method for an Interactive System.- Visual Analysis of Topics in Twitter Based on Co-Evolution of Terms.- Incremental Weighted Naive Bayes Classifiers for Data Stream.- SVM Ensembles are Better When Different Kernel Types are Combined.- Part IV Data Analysis in Marketing: Ratings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices.- A Statistical Software Package for Image Data Analysis in Marketing.- The Bass Model as Integrative Diffusion Model - A Comparison of Parameter Influences.- Preference Measurement in Complex Product Development – A Comparison of Two-Staged SEM Approaches.- Combination of Distances and Image Features for Clustering Image Data Bases.- A Game Theoretic Product Design Approach Considering Stochastic Partworth Functions.- Key Success-Determinants of Crowdfunded Projects – An Exploratory Analysis.- Preferences Interdependence among Family Members – Case III/APIM Approach.- Part V Data Analysis in Biostatistics and Bioinformatics: Evaluation for Cell Line Suitability for Disease Specific Perturbation Experiments.- Effect of Hundreds Sequenced Genomes on the Classification of Human Papilloma Viruses.- Donor Limited Hot Deck Imputation – A Constrained Optimization Problem.- Classification and Data Set Analysis Using Ensembles of Representative Prototype Sets.- Event Prediction in Pharyngeal High-Resolution Manometry.- Edge Selection in a Noisy Graph by Concept Analysis – Application to a Genomic Network.- Part VI Data Analysis in Education and Psychology: Linear Modelling of Differences in Teacher Judgment Formation of School Tracking Recommendations.- Psychometric Challenges in Modeling Scientific Problem-Solving Competency – An Item Response Theory Approach.- The Luxembourg Teacher Databank 1845-1939. Academic Research into the Social History of the Luxembourg Primary School Teaching Staff.- Part VII Data Analysis in Musicology: Correspondence Analysis, Cross-Autocorrelation and Clustering inPolyphonic Music.- Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition.- Interpretable Music Categorisation Based on Fuzzy Rules and High-Level Audio Features.- Part VIII Data Analysis in Communication and Technology: What is in a Like? Preference Aggregation on the Social Web.- Predicting Micro-Level Behavior in Online Communities for Risk Management.- Human Performance Profiling While Driving a Sidestick-Controlled Car.- Multivariate Landing Page Optimization Using Hierarchical Bayes CBC Analysis.- Hellinger Distance Based Feature Construction with Applications to the FACT Experiment.- Part IX Data Analysis in Administration and Spatial Planning: Hough Transform and Kirchhoff Migration for Supervised GPR Data Analysis.- Application of Hedonic Methods in Modelling Real Estate Prices in Poland.- Smart Growth Path as the Basis for the European Union Countries Typology.- The Influence of Upper Level NUTS on Lower Level Classification of EU Regions.- Part X Data Analysis in Library Science: Multilingual Subject Retrieval – Bibliotheca Alexandrina’s Subject Authority File and Linked Subject Data.- The VuFind Based "MT-Katalog" – A Customized Music Library Service at the University of Music and Drama Leipzig.

Recenzii

“The book under review is strongly recommended to interested theoreticians with strong background in measure and probability theory. Each chapter of the book is accompanied by supportive literature.” (Iris Burkholder, (Saarbrücken), British Journal of Hospital Medicine, Vol. 79 (5), May, 2018)

Textul de pe ultima copertă

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering, and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking, and finance; engineering; geography and geology;  archeology, sociology, educational sciences, linguistics, and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.

Caracteristici

Covers theory, methods and applications of data analysis Inspires for further research in the fields of Data Analysis, Learning by Latent Structures and Knowledge Discovery Combines the intensive work of excellent researchers from different disciplines united under the roof of data analysis