Data Science, Learning by Latent Structures, and Knowledge Discovery

Data Science, Learning by Latent Structures, and Knowledge Discovery

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Lausen, Berthold (Επιμελητής έκδοσης), Krolak-Schwerdt, Sabine (Επιμελητής έκδοσης), Böhmer, Matthias (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Σειρά:Studies in Classification, Data Analysis, and Knowledge Organization,
Θέματα:
Statistics.
Marketing.
Operations research.
Decision making.
Data mining.
Biostatistics.
Psychometrics.
Statistics, general.
Data Mining and Knowledge Discovery.
Operation Research/Decision Theory.
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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 in Polyphonic 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.

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