Título : |
Data Science and Classification |
Tipo de documento: |
documento electrónico |
Autores: |
SpringerLink (Online service) ; Vladimir Batagelj ; Hans-Hermann Bock ; Ferligoj, Anuška ; Aleš Žiberna |
Editorial: |
Berlin, Heidelberg : Springer Berlin Heidelberg |
Fecha de publicación: |
2006 |
Colección: |
Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 |
Número de páginas: |
XII, 358 p. 67 illus |
Il.: |
online resource |
ISBN/ISSN/DL: |
978-3-540-34416-2 |
Idioma : |
Inglés (eng) |
Palabras clave: |
Culture Study and teaching Library science Data structures (Computer science) Computers Pattern recognition Statistics Cultural Media Studies Science Statistical Theory Methods Structures, Cryptology Information Systems Communication Service Recognition for Business/Economics/Mathematical Finance/Insurance |
Clasificación: |
51 Matemáticas |
Nota de contenido: |
Similarity and Dissimilarity -- A Tree-Based Similarity for Evaluating Concept Proximities in an Ontology -- Improved Fréchet Distance for Time Series -- Comparison of Distance Indices Between Partitions -- Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas -- Dissimilarities for Web Usage Mining -- Properties and Performance of Shape Similarity Measures -- Classification and Clustering -- Hierarchical Clustering for Boxplot Variables -- Evaluation of Allocation Rules Under Some Cost Constraints -- Crisp Partitions Induced by a Fuzzy Set -- Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Clustering Methods -- Model Selection for the Binary Latent Class Model: A Monte Carlo Simulation -- Finding Meaningful and Stable Clusters Using Local Cluster Analysis -- Comparing Optimal Individual and Collective Assessment Procedures -- Network and Graph Analysis -- Some Open Problem Sets for Generalized Blockmodeling -- Spectral Clustering and Multidimensional Scaling: A Unified View -- Analyzing the Structure of U.S. Patents Network -- Identifying and Classifying Social Groups: A Machine Learning Approach -- Analysis of Symbolic Data -- Multidimensional Scaling of Histogram Dissimilarities -- Dependence and Interdependence Analysis for Interval-Valued Variables -- A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data -- Symbolic Clustering of Large Datasets -- A Dynamic Clustering Method for Mixed Feature-Type Symbolic Data -- General Data Analysis Methods -- Iterated Boosting for Outlier Detection -- Sub-species of Homopus Areolatus? Biplots and Small Class Inference with Analysis of Distance -- Revised Boxplot Based Discretization as the Kernel of Automatic Interpretation of Classes Using Numerical Variables -- Data and Web Mining -- Comparison of Two Methods for Detecting and Correcting Systematic Error in High-throughput Screening Data -- kNN Versus SVM in the Collaborative Filtering Framework -- Mining Association Rules in Folksonomies -- Empirical Analysis of Attribute-Aware Recommendation Algorithms with Variable Synthetic Data -- Patterns of Associations in Finite Sets of Items -- Analysis of Music Data -- Generalized N-gram Measures for Melodic Similarity -- Evaluating Different Approaches to Measuring the Similarity of Melodies -- Using MCMC as a Stochastic Optimization Procedure for Musical Time Series -- Local Models in Register Classification by Timbre -- Gene and Microarray Analysis -- Improving the Performance of Principal Components for Classification of Gene Expression Data Through Feature Selection -- A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model -- New Efficient Algorithm for Modeling Partial and Complete Gene Transfer Scenarios |
En línea: |
http://dx.doi.org/10.1007/3-540-34416-0 |
Link: |
https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34974 |
Data Science and Classification [documento electrónico] / SpringerLink (Online service) ; Vladimir Batagelj ; Hans-Hermann Bock ; Ferligoj, Anuška ; Aleš Žiberna . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2006 . - XII, 358 p. 67 illus : online resource. - ( Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) . ISBN : 978-3-540-34416-2 Idioma : Inglés ( eng)
Palabras clave: |
Culture Study and teaching Library science Data structures (Computer science) Computers Pattern recognition Statistics Cultural Media Studies Science Statistical Theory Methods Structures, Cryptology Information Systems Communication Service Recognition for Business/Economics/Mathematical Finance/Insurance |
Clasificación: |
51 Matemáticas |
Nota de contenido: |
Similarity and Dissimilarity -- A Tree-Based Similarity for Evaluating Concept Proximities in an Ontology -- Improved Fréchet Distance for Time Series -- Comparison of Distance Indices Between Partitions -- Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas -- Dissimilarities for Web Usage Mining -- Properties and Performance of Shape Similarity Measures -- Classification and Clustering -- Hierarchical Clustering for Boxplot Variables -- Evaluation of Allocation Rules Under Some Cost Constraints -- Crisp Partitions Induced by a Fuzzy Set -- Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Clustering Methods -- Model Selection for the Binary Latent Class Model: A Monte Carlo Simulation -- Finding Meaningful and Stable Clusters Using Local Cluster Analysis -- Comparing Optimal Individual and Collective Assessment Procedures -- Network and Graph Analysis -- Some Open Problem Sets for Generalized Blockmodeling -- Spectral Clustering and Multidimensional Scaling: A Unified View -- Analyzing the Structure of U.S. Patents Network -- Identifying and Classifying Social Groups: A Machine Learning Approach -- Analysis of Symbolic Data -- Multidimensional Scaling of Histogram Dissimilarities -- Dependence and Interdependence Analysis for Interval-Valued Variables -- A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data -- Symbolic Clustering of Large Datasets -- A Dynamic Clustering Method for Mixed Feature-Type Symbolic Data -- General Data Analysis Methods -- Iterated Boosting for Outlier Detection -- Sub-species of Homopus Areolatus? Biplots and Small Class Inference with Analysis of Distance -- Revised Boxplot Based Discretization as the Kernel of Automatic Interpretation of Classes Using Numerical Variables -- Data and Web Mining -- Comparison of Two Methods for Detecting and Correcting Systematic Error in High-throughput Screening Data -- kNN Versus SVM in the Collaborative Filtering Framework -- Mining Association Rules in Folksonomies -- Empirical Analysis of Attribute-Aware Recommendation Algorithms with Variable Synthetic Data -- Patterns of Associations in Finite Sets of Items -- Analysis of Music Data -- Generalized N-gram Measures for Melodic Similarity -- Evaluating Different Approaches to Measuring the Similarity of Melodies -- Using MCMC as a Stochastic Optimization Procedure for Musical Time Series -- Local Models in Register Classification by Timbre -- Gene and Microarray Analysis -- Improving the Performance of Principal Components for Classification of Gene Expression Data Through Feature Selection -- A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model -- New Efficient Algorithm for Modeling Partial and Complete Gene Transfer Scenarios |
En línea: |
http://dx.doi.org/10.1007/3-540-34416-0 |
Link: |
https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34974 |
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