Machine Learning and Data Mining in Pattern Recognition

Table of Contents

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   Book Overview
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   Chapter 1 Data Clustering: User’s Dilemma
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   Chapter 2 On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers
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   Chapter 3 Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods
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   Chapter 4 Multi-source Data Modelling: Integrating Related Data to Improve Model Performance
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   Chapter 5 An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules
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   Chapter 6 Outlier Detection with Kernel Density Functions
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   Chapter 7 Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining
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   Chapter 8 An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams
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    Chapter 9 On the Combination of Locally Optimal Pairwise Classifiers
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    Chapter 10 An Agent-Based Approach to the Multiple-Objective Selection of Reference Vectors
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    Chapter 11 On Applying Dimension Reduction for Multi-labeled Problems
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    Chapter 12 Nonlinear Feature Selection by Relevance Feature Vector Machine
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    Chapter 13 Affine Feature Extraction: A Generalization of the Fukunaga-Koontz Transformation
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    Chapter 14 A Bounded Index for Cluster Validity
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    Chapter 15 Varying Density Spatial Clustering Based on a Hierarchical Tree
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    Chapter 16 Kernel MDL to Determine the Number of Clusters
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    Chapter 17 Critical Scale for Unsupervised Cluster Discovery
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    Chapter 18 Minimum Information Loss Cluster Analysis for Categorical Data
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    Chapter 19 A Clustering Algorithm Based on Generalized Stars
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    Chapter 20 Evolving Committees of Support Vector Machines
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    Chapter 21 Choosing the Kernel Parameters for the Directed Acyclic Graph Support Vector Machines
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    Chapter 22 Data Selection Using SASH Trees for Support Vector Machines
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    Chapter 23 Dynamic Distance-Based Active Learning with SVM
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    Chapter 24 Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation
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    Chapter 25 Transductive Learning from Relational Data
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    Chapter 26 A Novel Rule Ordering Approach in Classification Association Rule Mining
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    Chapter 27 Distributed and Shared Memory Algorithm for Parallel Mining of Association Rules
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    Chapter 28 Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes
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    Chapter 29 Blog Mining for the Fortune 500
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    Chapter 30 A Link-Based Rank of Postings in Newsgroup
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    Chapter 31 A Comparative Study of Unsupervised Machine Learning and Data Mining Techniques for Intrusion Detection
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    Chapter 32 Long Tail Attributes of Knowledge Worker Intranet Interactions
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    Chapter 33 A Case-Based Approach to Anomaly Intrusion Detection
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    Chapter 34 Sensing Attacks in Computers Networks with Hidden Markov Models
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    Chapter 35 FIDS: Monitoring Frequent Items over Distributed Data Streams
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    Chapter 36 Mining Maximal Frequent Itemsets in Data Streams Based on FP-Tree
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    Chapter 37 CCIC: Consistent Common Itemsets Classifier
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    Chapter 38 Development of an Agreement Metric Based Upon the RAND Index for the Evaluation of Dimensionality Reduction Techniques, with Applications to Mapping Customer Data
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    Chapter 39 Machine Learning and Data Mining in Pattern Recognition
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    Chapter 40 A Unified View of Objective Interestingness Measures
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    Chapter 41 Comparing State-of-the-Art Collaborative Filtering Systems
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    Chapter 42 Reducing the Dimensionality of Vector Space Embeddings of Graphs
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    Chapter 43 PE-PUC: A Graph Based PU-Learning Approach for Text Classification
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    Chapter 44 Efficient Subsequence Matching Using the Longest Common Subsequence with a Dual Match Index
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    Chapter 45 A Direct Measure for the Efficacy of Bayesian Network Structures Learned from Data
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    Chapter 46 A New Combined Fractal Scale Descriptor for Gait Sequence
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    Chapter 47 Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA
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    Chapter 48 A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram
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    Chapter 49 Fast-Maneuvering Target Seeking Based on Double-Action Q-Learning
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    Chapter 50 Mining Frequent Trajectories of Moving Objects for Location Prediction
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    Chapter 51 Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation
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    Chapter 52 Restricted Sequential Floating Search Applied to Object Selection
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    Chapter 53 Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
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    Chapter 54 A Hybrid Algorithm Based on Evolution Strategies and Instance-Based Learning, Used in Two-Dimensional Fitting of Brightness Profiles in Galaxy Images
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    Chapter 55 Gait Recognition by Applying Multiple Projections and Kernel PCA
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    Chapter 56 A Machine Learning Approach to Test Data Generation: A Case Study in Evaluation of Gene Finders
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    Chapter 57 Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds
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    Chapter 58 One Lead ECG Based Personal Identification with Feature Subspace Ensembles
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    Chapter 59 Classification of Breast Masses in Mammogram Images Using Ripley’s K Function and Support Vector Machine
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    Chapter 60 Selection of Experts for the Design of Multiple Biometric Systems
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    Chapter 61 Multi-agent System Approach to React to Sudden Environmental Changes
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    Chapter 62 Equivalence Learning in Protein Classification
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    Chapter 63 Statistical Identification of Key Phrases for Text Classification
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    Chapter 64 Probabilistic Model for Structured Document Mapping
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    Chapter 65 Application of Fractal Theory for On-Line and Off-Line Farsi Digit Recognition
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    Chapter 66 Hybrid Learning of Ontology Classes
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    Chapter 67 Discovering Relations Among Entities from XML Documents