Data Science, Learning by Latent Structures, and Knowledge Discovery

Zusatztext

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.

Autorenportrait

InhaltsangabeForeword: Marc Hansen.- Preface: Berthold Lausen, Sabine Krolak-Schwerdt, & Matthias Böhmer.- Part I Invited Papers: Modernising Official Statistics - A Complex Challenge: August Götzfried.- A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity: Oguz Akbilgic & Hamparsum (Ham) Bozdogan.- Finding the Number of Disparate Clusters with Background Contamination: Anthony C. Atkinson, Andrea Cerioli, Gianluca Morelli, & Marco Riani.- Clustering of Solar Irradiance: Miloud Bessafi, Francisco de A. T. de Carvalho, Philippe Charton, Mathieu Delsaut, Thierry Despeyroux, Patrick Jeanty, Jean Daniel Lan-Sun-Luk, Yves Lechevallier, Henri Ralambondrainy, & Lionel Trovalet.- Part II Data Science and Clustering: Factor Analysis of Local Formalism: François Bavaud & Christelle Cocco.- Recent progress in Complex Network Analysis - Models: Mindaugas Bloznelis, Erhard Godehardt, Jerzy Jaworski, Valentas Kurauskas, & Katarzyna Rybarczyk.- Recent Progress in Complex Network Analysis - Results: Mindaugas Bloznelis, Erhard Godehardt, Jerzy Jaworski, Valentas Kurauskas, & Katarzyna Rybarczyk.-  Similarity Measures of Concept Lattices: Florent Domenach.- Flow-Based Dissimilarities: Shortest Path, Commute Time, Max-Flow and Free Energy: Guillaume Guex & François Bavaud.- Resampling Techniques in Cluster Analysis - Is Subsampling Better Than Bootstrapping? Hans-Joachim Mucha & Hans-Georg Bartel.- On-Line Clustering of Functional Boxplots for Monitoring Multiple Streaming Time Series: Elvira Romano & Antonio Balzanella.- Smooth Tests of Fit for Gaussian Mixtures: Thomas Falk Suesse, John Rayner, & Olivier Thas.- Part III Machine Learning and Knowledge Discovery: P2P RVM for Distributed Classification: Umer Khan, Alexandros Nanopoulos, & Lars Schmidt-Thieme.- Selecting a Multi-Label Classification Method for an Interactive System: Noureddine Yassine Nair Benrekia, Pascale Kuntz, & Franck Meyer.- Visual Analysis of Topics in Twitter Based on Co-Evolution of Terms: Lambert Pepin, Julien Blanchard, Fabrice Guillet, Pascale Kuntz, & Philippe Suignard.- Incremental Weighted Naive Bayes Classifiers for Data Stream: Christophe Salperwyck, Vincent Lemaire, & Carine Hue.- SVM Ensembles are Better When Different Kernel Types are Combined: Jörg Stork, Ricardo Ramos, Patrick Koch, & Wolfgang Konen.- Part IV Data Analysis in Marketing: Ratings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices: Daniel Baier, Marcin Pelka, Aneta Rybicka, & Stefanie Schreiber.- A Statistical Software Package for Image Data Analysis in Marketing: Thomas Boettcher, Daniel Baier, & Robert Naundorf.- The Bass Model as Integrative Diffusion Model - A Comparison of Parameter Influences: Michael Brusch, Sebastian Fischer & Stephan Szuppa.- Preference Measurement in Complex Product Development - A Comparison of Two-Staged SEM Approaches: Jörgen Eimecke & Daniel Baier.- Combination of Distances and Image Features for Clustering Image Data Bases: Sarah Frost & Daniel Baier.- A Game Theoretic Product Design Approach Considering Stochastic Partworth Functions: Daniel Krausche & Daniel Baier.- Key Success-Determinants of Crowdfunded Projects - An Exploratory Analysis: Thomas Müllerleile & Dieter William Joenssen.- Preferences Interdependence among Family Members - Case III/APIM Approach: Adam Sagan.- Part V Data Analysis in Biostatistics and Bioinformatics: Evaluation for Cell Line Suitability for Disease Specific Perturbation Experiments: Maria Biryukov, Paul Antony, Abhimanyu Krishna, Patrick May, & Christophe Trefois.- Effect of Hundreds Sequenced Genomes on the Classification of Human Papilloma Viruses: Bruno Daigle, Vladimir Makarenkov, & Abdoulaye Baniré Diallo.- Donor Limit

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