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Data Science, Learning by Latent Structures, and Knowledge Discovery

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Cover of 'Data Science, Learning by Latent Structures, and Knowledge Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Modernising Official Statistics: A Complex Challenge
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    Chapter 2 A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity
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    Chapter 3 Finding the Number of Disparate Clusters with Background Contamination
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    Chapter 4 Clustering of Solar Irradiance
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    Chapter 5 Factor Analysis of Local Formalism
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    Chapter 6 Recent Progress in Complex Network Analysis: Models of Random Intersection Graphs
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    Chapter 7 Recent Progress in Complex Network Analysis: Properties of Random Intersection Graphs
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    Chapter 8 Similarity Measures of Concept Lattices
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    Chapter 9 Flow-Based Dissimilarities: Shortest Path, Commute Time, Max-Flow and Free Energy
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    Chapter 10 Resampling Techniques in Cluster Analysis: Is Subsampling Better Than Bootstrapping?
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    Chapter 11 On-Line Clustering of Functional Boxplots for Monitoring Multiple Streaming Time Series
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    Chapter 12 Smooth Tests of Fit for Gaussian Mixtures
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    Chapter 13 P2P RVM for Distributed Classification
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    Chapter 14 Selecting a Multi-Label Classification Method for an Interactive System
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    Chapter 15 Visual Analysis of Topics in Twitter Based on Co-evolution of Terms
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    Chapter 16 Incremental Weighted Naive Bays Classifiers for Data Stream
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    Chapter 17 SVM Ensembles Are Better When Different Kernel Types Are Combined
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    Chapter 18 Ratings-/Rankings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices
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    Chapter 19 A Statistical Software Package for Image Data Analysis in Marketing
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    Chapter 20 The Bass Model as Integrative Diffusion Model: A Comparison of Parameter Influences
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    Chapter 21 Preference Measurement in Complex Product Development: A Comparison of Two-Staged SEM Approaches
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    Chapter 22 Combination of Distances and Image Features for Clustering Image Data Bases
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    Chapter 23 A Game Theoretic Product Design Approach Considering Stochastic Partworth Functions
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    Chapter 24 Key Success-Determinants of Crowdfunded Projects: An Exploratory Analysis
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    Chapter 25 Preferences Interdependence Among Family Members: Case III/APIM Approach
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    Chapter 26 Evaluation of Cell Line Suitability for Disease Specific Perturbation Experiments
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    Chapter 27 Effect of Hundreds Sequenced Genomes on the Classification of Human Papillomaviruses
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    Chapter 28 Donor Limited Hot Deck Imputation: A Constrained Optimization Problem
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    Chapter 29 Ensembles of Representative Prototype Sets for Classification and Data Set Analysis
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    Chapter 30 Event Prediction in Pharyngeal High-Resolution Manometry
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    Chapter 31 Edge Selection in a Noisy Graph by Concept Analysis: Application to a Genomic Network
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    Chapter 32 Linear Modelling of Differences in Teacher Judgment Formation of School Tracking Recommendations
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    Chapter 33 Psychometric Challenges in Modeling Scientific Problem-Solving Competency: An Item Response Theory Approach
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    Chapter 34 The Luxembourg Teacher Databank 1845–1939. Academic Research into the Social History of the Luxembourg Primary School Teaching Staff
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    Chapter 35 Correspondence Analysis, Cross-Autocorrelation and Clustering in Polyphonic Music
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    Chapter 36 Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition
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    Chapter 37 Interpretable Music Categorisation Based on Fuzzy Rules and High-Level Audio Features
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    Chapter 38 What Is in a Like? Preference Aggregation on the Social Web
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    Chapter 39 Predicting Micro-Level Behavior in Online Communities for Risk Management
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    Chapter 40 Human Performance Profiling While Driving a Sidestick-Controlled Car
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    Chapter 41 Multivariate Landing Page Optimization Using Hierarchical Bayes Choice-Based Conjoint
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    Chapter 42 Distance Based Feature Construction in a Setting of Astronomy
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    Chapter 43 Hough Transform and Kirchhoff Migration for Supervised GPR Data Analysis
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    Chapter 44 Application of Hedonic Methods in Modelling Real Estate Prices in Poland
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    Chapter 45 Smart Growth Path as the Basis for the European Union Countries Typology
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    Chapter 46 The Influence of Upper Level NUTS on Lower Level Classification of EU Regions
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    Chapter 47 Multilingual Subject Retrieval: Bibliotheca Alexandrina’s Subject Authority File and Linked Subject Data
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    Chapter 48 The VuFind Based “MT-Katalog”: A Customized Music Library Service at the University of Music and Drama Leipzig
Overall attention for this book and its chapters
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Mentioned by

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7 tweeters

Citations

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7 Dimensions

Readers on

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Title
Data Science, Learning by Latent Structures, and Knowledge Discovery
Published by
Springer-Verlag Berlin Heidelberg, January 2015
DOI 10.1007/978-3-662-44983-7
ISBNs
978-3-66-244982-0, 978-3-66-244983-7
Editors

Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 2%
Professor > Associate Professor 1 2%
Student > Bachelor 1 2%
Researcher 1 2%
Unknown 56 93%
Readers by discipline Count As %
Computer Science 2 3%
Engineering 1 2%
Unknown 57 95%