Data Science and Classification

Table of Contents

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   Book Overview
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   Chapter 1 A Tree-Based Similarity for Evaluating Concept Proximities in an Ontology
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   Chapter 2 Improved Fréchet Distance for Time Series
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   Chapter 3 Comparison of Distance Indices Between Partitions
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   Chapter 4 Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas
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   Chapter 5 Dissimilarities for Web Usage Mining
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   Chapter 6 Properties and Performance of Shape Similarity Measures
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   Chapter 7 Hierarchical Clustering for Boxplot Variables
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   Chapter 8 Evaluation of Allocation Rules Under Some Cost Constraints
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    Chapter 9 Crisp Partitions Induced by a Fuzzy Set
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    Chapter 10 Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Clustering Methods
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    Chapter 11 Model Selection for the Binary Latent Class Model: A Monte Carlo Simulation
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    Chapter 12 Finding Meaningful and Stable Clusters Using Local Cluster Analysis
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    Chapter 13 Comparing Optimal Individual and Collective Assessment Procedures
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    Chapter 14 Some Open Problem Sets for Generalized Blockmodeling
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    Chapter 15 Spectral Clustering and Multidimensional Scaling: A Unified View
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    Chapter 16 Analyzing the Structure of U.S. Patents Network
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    Chapter 17 Identifying and Classifying Social Groups: A Machine Learning Approach
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    Chapter 18 Multidimensional Scaling of Histogram Dissimilarities
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    Chapter 19 Dependence and Interdependence Analysis for Interval-Valued Variables
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    Chapter 20 A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data
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    Chapter 21 Symbolic Clustering of Large Datasets
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    Chapter 22 A Dynamic Clustering Method for Mixed Feature-Type Symbolic Data
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    Chapter 23 Iterated Boosting for Outlier Detection
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    Chapter 24 Sub-species of Homopus Areolatus? Biplots and Small Class Inference with Analysis of Distance
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    Chapter 25 Revised Boxplot Based Discretization as the Kernel of Automatic Interpretation of Classes Using Numerical Variables
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    Chapter 26 Comparison of Two Methods for Detecting and Correcting Systematic Error in High-throughput Screening Data
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    Chapter 27 kNN Versus SVM in the Collaborative Filtering Framework
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    Chapter 28 Mining Association Rules in Folksonomies
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    Chapter 29 Empirical Analysis of Attribute-Aware Recommendation Algorithms with Variable Synthetic Data
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    Chapter 30 Patterns of Associations in Finite Sets of Items
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    Chapter 31 Generalized N-gram Measures for Melodic Similarity
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    Chapter 32 Evaluating Different Approaches to Measuring the Similarity of Melodies
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    Chapter 33 Using MCMC as a Stochastic Optimization Procedure for Musical Time Series
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    Chapter 34 Local Models in Register Classification by Timbre
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    Chapter 35 Improving the Performance of Principal Components for Classification of Gene Expression Data Through Feature Selection
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    Chapter 36 A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model
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    Chapter 37 New Efficient Algorithm for Modeling Partial and Complete Gene Transfer Scenarios