Coverart for item
The Resource Challenges at the interface of data analysis, computer science, and optimization : proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010, Wolfgang A. Gaul [and others], editors

Challenges at the interface of data analysis, computer science, and optimization : proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010, Wolfgang A. Gaul [and others], editors

Label
Challenges at the interface of data analysis, computer science, and optimization : proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010
Title
Challenges at the interface of data analysis, computer science, and optimization
Title remainder
proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010
Statement of responsibility
Wolfgang A. Gaul [and others], editors
Creator
Contributor
Subject
Genre
Language
eng
Summary
Annotation This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests infields such as the analysis of social relationships as well as statistical musicology
Member of
Cataloging source
GW5XE
Dewey number
519.50285
Index
index present
LC call number
QA276.4
LC item number
.G47 2010
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://bibfra.me/vocab/lite/organizationDate
2010 :
http://bibfra.me/vocab/lite/organizationName
Gesellschaft für Klassifikation
http://library.link/vocab/relatedWorkOrContributorName
Gaul, Wolfgang A
Series statement
Studies in classification, data analysis, and knowledge organization,
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Computer science
  • Mathematical optimization
  • MATHEMATICS
  • Science économique
  • Affaires
  • Computer science
  • Mathematical optimization
  • Mathematical statistics
Label
Challenges at the interface of data analysis, computer science, and optimization : proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010, Wolfgang A. Gaul [and others], editors
Instantiates
Publication
Note
International conference proceedings
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • A Case Study on the Use of Statistical Classification Methods in Particle Physics
  • Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets
  • Part 2.
  • Quantification Theory
  • Reduced Versus Complete Space Configurations in Total Information Analysis
  • A Geometrical Interpretation of the Horseshoe Effect in Multiple Correspondence Analysis of Binary Data
  • Quantification Theory: Reminiscence and a Step Forward
  • Part 3.
  • Analysis of m-Mode n-Way and Asymmetric Data
  • Modelling Rater Differences in the Analysis of Three-Way Three-Mode Binary Data
  • Part 1.
  • Reconstructing One-Mode Three-way Asymmetric Data for Multidimensional Scaling
  • Analysis of Car Switching Data by Asymmetric Multidimensional Scaling Based on Singular Value Decomposition
  • Visualization of Asymmetric Clustering Result with Digraph and Dendrogram
  • Part 4.
  • Analysis of Visual, Spatial, and Temporal Data
  • Clustering Temporal Population Patterns in Switzerland (1850-2000)
  • p-adic Methods in Stereo Vision
  • Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms
  • An EM Algorithm for the Student-t Cluster-Weighted Modeling
  • Analysis of Distribution Valued Dissimilarity Data
  • An Overall Index for Comparing Hierarchical Clusterings
  • An Accelerated K-Means Algorithm Based on Adaptive Distances
  • Bias-Variance Analysis of Local Classification Methods
  • Effect of Data Standardization on the Result of k-Means Clustering
  • Clustering Coefficients of Random Intersection Graphs
  • Immersive Dynamic Visualization of Interactions in a Social Network
  • Fuzzy Boolean Network Reconstruction
  • GIRAN: A Dynamic Graph Interface to Neighborhoods of Related Articles
  • Power Tags as Tools for Social Knowledge Organization Systems
  • The Degree Distribution in Random Intersection Graphs
  • Application of a Community Membership Life Cycle Model on Tag-Based Communities in Twitter
  • Measuring the Influence of Network Structures on Social Interaction over Time
  • Identifying Artificial Actors in E-Dating: A Probabilistic Segmentation Based on Interactional Pattern Analysis
  • Part 6.
  • Individualized Error Estimation for Classification and Regression Models
  • Text Mining
  • Calculating a Distributional Similarity Kernel using the Nyström Extension
  • Text Categorization in R: A Reduced N-Gram Approach
  • Part 7.
  • Dimension Reduction
  • HOMALS for Dimension Reduction in Information Retrieval
  • Feature Reduction and Nearest Neighbours
  • Evaluation of Spatial Cluster Detection Algorithms for Crime Locations
  • Checking Serial Independence of Residuals from a Nonlinear Model
  • Part 5.
  • Network Data, Graphs, and Social Relationships
  • Analysis of Network Data Based on Probability Neighborhood Cliques
  • A Comparison of Agglomerative Hierarchical Algorithms for Modularity Clustering
  • Network Data as Contiguity Constraints in Modeling Preference Data
  • Part 9.
  • Data Analysis in Banking and Finance
  • Conditional Factor Models for European Banks
  • Classification of Large Imbalanced Credit Client Data with Cluster Based SVM
  • Fault Mining Using Peer Group Analysis
  • Part 10.
  • Data Analysis in Health and Environment
  • Discovering Possible Patterns Associations Among Drug Prescriptions
  • Cluster Analytic Strategy for Identification of Metagenes Relevant for Prognosis of Node Negative Breast Cancer
  • Part 11.
  • Part 8.
  • Analysis of Marketing, Conjoint, and Multigroup Data
  • Image Clustering for Marketing Purposes
  • PLS-MGA: A Non-Parametric Approach to Partial Least Squares-based Multi-Group Analysis
  • Love and Loyalty in Car Brands: Segmentation Using Finite Mixture Partial Least Squares
  • Endogeneity and Exogeneity in Sales Response Functions
  • Lead User Identification in Conjoint Analysis Based Product Design
  • Improving the Validity of Conjoint Analysis by Additional Data Collection and Analysis Steps
  • The Impact of Missing Values on PLS Model Fitting
  • Part 12.
  • Teachers' Typology of Student Categories: A Cluster Analytic Study
  • Statistical Musicology
  • ECTS Grades: Combination of Norm- and Criterion-Referenced Grading
  • Students Reading Motivation: A Multilevel Mixture Factor Analysis
  • Part 13.
  • Analysis of Tourism Data
  • Musical Instrument Recognition by High-Level Features
  • The Recognition of Consonance Is not Impaired by Intonation Deviations: A Revised Theory
  • Applying Multiple Kernel Learning to Automatic Genre Classification
  • Multi-Objective Evaluation of Music Classification
  • Partition Based Feature Processing for Improved Music Classification
  • Software in Music Information Retrieval
Control code
777214477
Dimensions
unknown
Extent
1 online resource (xiv, 598 pages).
File format
unknown
Form of item
online
Isbn
9783642244667
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-642-24466-7
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)777214477
Label
Challenges at the interface of data analysis, computer science, and optimization : proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010, Wolfgang A. Gaul [and others], editors
Publication
Note
International conference proceedings
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • A Case Study on the Use of Statistical Classification Methods in Particle Physics
  • Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets
  • Part 2.
  • Quantification Theory
  • Reduced Versus Complete Space Configurations in Total Information Analysis
  • A Geometrical Interpretation of the Horseshoe Effect in Multiple Correspondence Analysis of Binary Data
  • Quantification Theory: Reminiscence and a Step Forward
  • Part 3.
  • Analysis of m-Mode n-Way and Asymmetric Data
  • Modelling Rater Differences in the Analysis of Three-Way Three-Mode Binary Data
  • Part 1.
  • Reconstructing One-Mode Three-way Asymmetric Data for Multidimensional Scaling
  • Analysis of Car Switching Data by Asymmetric Multidimensional Scaling Based on Singular Value Decomposition
  • Visualization of Asymmetric Clustering Result with Digraph and Dendrogram
  • Part 4.
  • Analysis of Visual, Spatial, and Temporal Data
  • Clustering Temporal Population Patterns in Switzerland (1850-2000)
  • p-adic Methods in Stereo Vision
  • Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms
  • An EM Algorithm for the Student-t Cluster-Weighted Modeling
  • Analysis of Distribution Valued Dissimilarity Data
  • An Overall Index for Comparing Hierarchical Clusterings
  • An Accelerated K-Means Algorithm Based on Adaptive Distances
  • Bias-Variance Analysis of Local Classification Methods
  • Effect of Data Standardization on the Result of k-Means Clustering
  • Clustering Coefficients of Random Intersection Graphs
  • Immersive Dynamic Visualization of Interactions in a Social Network
  • Fuzzy Boolean Network Reconstruction
  • GIRAN: A Dynamic Graph Interface to Neighborhoods of Related Articles
  • Power Tags as Tools for Social Knowledge Organization Systems
  • The Degree Distribution in Random Intersection Graphs
  • Application of a Community Membership Life Cycle Model on Tag-Based Communities in Twitter
  • Measuring the Influence of Network Structures on Social Interaction over Time
  • Identifying Artificial Actors in E-Dating: A Probabilistic Segmentation Based on Interactional Pattern Analysis
  • Part 6.
  • Individualized Error Estimation for Classification and Regression Models
  • Text Mining
  • Calculating a Distributional Similarity Kernel using the Nyström Extension
  • Text Categorization in R: A Reduced N-Gram Approach
  • Part 7.
  • Dimension Reduction
  • HOMALS for Dimension Reduction in Information Retrieval
  • Feature Reduction and Nearest Neighbours
  • Evaluation of Spatial Cluster Detection Algorithms for Crime Locations
  • Checking Serial Independence of Residuals from a Nonlinear Model
  • Part 5.
  • Network Data, Graphs, and Social Relationships
  • Analysis of Network Data Based on Probability Neighborhood Cliques
  • A Comparison of Agglomerative Hierarchical Algorithms for Modularity Clustering
  • Network Data as Contiguity Constraints in Modeling Preference Data
  • Part 9.
  • Data Analysis in Banking and Finance
  • Conditional Factor Models for European Banks
  • Classification of Large Imbalanced Credit Client Data with Cluster Based SVM
  • Fault Mining Using Peer Group Analysis
  • Part 10.
  • Data Analysis in Health and Environment
  • Discovering Possible Patterns Associations Among Drug Prescriptions
  • Cluster Analytic Strategy for Identification of Metagenes Relevant for Prognosis of Node Negative Breast Cancer
  • Part 11.
  • Part 8.
  • Analysis of Marketing, Conjoint, and Multigroup Data
  • Image Clustering for Marketing Purposes
  • PLS-MGA: A Non-Parametric Approach to Partial Least Squares-based Multi-Group Analysis
  • Love and Loyalty in Car Brands: Segmentation Using Finite Mixture Partial Least Squares
  • Endogeneity and Exogeneity in Sales Response Functions
  • Lead User Identification in Conjoint Analysis Based Product Design
  • Improving the Validity of Conjoint Analysis by Additional Data Collection and Analysis Steps
  • The Impact of Missing Values on PLS Model Fitting
  • Part 12.
  • Teachers' Typology of Student Categories: A Cluster Analytic Study
  • Statistical Musicology
  • ECTS Grades: Combination of Norm- and Criterion-Referenced Grading
  • Students Reading Motivation: A Multilevel Mixture Factor Analysis
  • Part 13.
  • Analysis of Tourism Data
  • Musical Instrument Recognition by High-Level Features
  • The Recognition of Consonance Is not Impaired by Intonation Deviations: A Revised Theory
  • Applying Multiple Kernel Learning to Automatic Genre Classification
  • Multi-Objective Evaluation of Music Classification
  • Partition Based Feature Processing for Improved Music Classification
  • Software in Music Information Retrieval
Control code
777214477
Dimensions
unknown
Extent
1 online resource (xiv, 598 pages).
File format
unknown
Form of item
online
Isbn
9783642244667
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-642-24466-7
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)777214477

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