Advances in Intelligent Data Analysis V

Table of Contents

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   Book Overview
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   Chapter 1 Pruning for Monotone Classification Trees
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   Chapter 2 Regularized Learning with Flexible Constraints
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   Chapter 3 Learning to Answer Emails
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   Chapter 4 A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
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   Chapter 5 Using Domain Specific Knowledge for Automated Modeling
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   Chapter 6 Resolving Rule Conflicts with Double Induction
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   Chapter 7 A Novel Partial-Memory Learning Algorithm Based on Grey Relational Structure
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   Chapter 8 Constructing Hierarchical Rule Systems
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    Chapter 9 Text Categorization Using Hybrid Multiple Model Schemes
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    Chapter 10 Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
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    Chapter 11 Topology and Intelligent Data Analysis
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    Chapter 12 Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events
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    Chapter 13 Very Predictive Ngrams for Space-Limited Probabilistic Models
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    Chapter 14 Interval Estimation Naïve Bayes
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    Chapter 15 Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks
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    Chapter 16 Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs
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    Chapter 17 An Effective Associative Memory for Pattern Recognition
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    Chapter 18 Similarity Based Classification
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    Chapter 19 Numerical Attributes in Decision Trees: A Hierarchical Approach
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    Chapter 20 Similarity-Based Neural Networks for Applications in Computational Molecular Biology
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    Chapter 21 Combining Pairwise Classifiers with Stacking
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    Chapter 22 APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery
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    Chapter 23 Solving Classification Problems Using Infix Form Genetic Programming
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    Chapter 24 What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier
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    Chapter 25 A Mixture Model Approach for Binned Data Clustering
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    Chapter 26 Fuzzy Clustering Based Segmentation of Time-Series
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    Chapter 27 An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering
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    Chapter 28 Data Clustering in Tolerance Space
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    Chapter 29 Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings
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    Chapter 30 Clustering Mobile Trajectories for Resource Allocation in Mobile Environments
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    Chapter 31 Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
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    Chapter 32 Combining and Comparing Cluster Methods in a Receptor Database
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    Chapter 33 Selective Sampling with a Hierarchical Latent Variable Model
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    Chapter 34 Obtaining Quality Microarray Data via Image Reconstruction
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    Chapter 35 Large Scale Mining of Molecular Fragments with Wildcards
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    Chapter 36 Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel
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    Chapter 37 Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool Based on Spatial Aggregation
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    Chapter 38 Study of Canada/US Dollar Exchange Rate Movements Using Recurrent Neural Network Model of FX-Market
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    Chapter 39 Gaussian Mixture Density Estimation Applied to Microarray Data
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    Chapter 40 Classification of Protein Localisation Patterns via Supervised Neural Network Learning
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    Chapter 41 Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software
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    Chapter 42 The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction
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    Chapter 43 A Multiagent-Based Constructive Approach for Feedforward Neural Networks
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    Chapter 44 Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems
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    Chapter 45 Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting
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    Chapter 46 On the Use of the GTM Algorithm for Mode Detection
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    Chapter 47 Regularization Methods for Additive Models
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    Chapter 48 Automated Detection of Influenza Epidemics with Hidden Markov Models
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    Chapter 49 Guided Incremental Construction of Belief Networks
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    Chapter 50 Distributed Regression for Heterogeneous Data Sets
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    Chapter 51 A Logical Formalisation of the Fellegi-Holt Method of Data Cleaning
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    Chapter 52 Compression Technique Preserving Correlations of a Multivariate Temporal Sequence
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    Chapter 53 Condensed Representations in Presence of Missing Values
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    Chapter 54 Measures of Rule Quality for Feature Selection in Text Categorization
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    Chapter 55 Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation
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    Chapter 56 Active Feature Selection Based on a Very Limited Number of Entities