| Attribute Discretization and Data Preparation | |
| Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization | p. 1 |
| Selection of Subsets of Ordered Features in Machine Learning | p. 16 |
| Combination of Vector Quantization and Visualization | p. 29 |
| Discretization of Target Attributes for Subgroup Discovery | p. 44 |
| Preserving Privacy in Time Series Data Classification by Discretization | p. 53 |
| Using Resampling Techniques for Better Quality Discretization | p. 68 |
| Classification | |
| A Large Margin Classifier with Additional Features | p. 82 |
| Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier | p. 96 |
| Optimal Double-Kernel Combination for Classification | p. 107 |
| Efficient AdaBoost Region Classification | p. 123 |
| A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation | p. 137 |
| PMCRI: A Parallel Modular Classification Rule Induction Framework | p. 148 |
| Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method | p. 163 |
| ODDboost: Incorporating Posterior Estimates into AdaBoost | p. 178 |
| Ensemble Classifier Learning | |
| Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach | p. 191 |
| Relevance and Redundancy Analysis for Ensemble Classifiers | p. 206 |
| Drift-A ware Ensemble Regression | p. 221 |
| Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees | p. 236 |
| Association Rules and Pattern Mining | |
| Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies | p. 251 |
| Pattern Mining with Natural Language Processing: An Exploratory Approach | p. 266 |
| Is the Distance Compression Effect Overstated? Some Theory and Experimentation | p. 280 |
| Support Vector Machines | |
| Fast Local Support Vector Machines for Large Datasets | p. 295 |
| The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines | p. 311 |
| Towards B-Coloring of SOM | p. 322 |
| Clustering | |
| CSBIterKmeans: A New Clustering Algorithm Based on Quantitative Assessment of the Clustering Quality | p. 337 |
| Agent-Based Non-distributed and Distributed Clustering | p. 347 |
| An Evidence Accumulation Approach to Constrained Clustering Combination | p. 361 |
| Fast Spectral Clustering with Random Projection and Sampling | p. 372 |
| How Much True Structure Has Been Discovered?: Validating Explorative Clustering on a Hold-Out Test Set | p. 385 |
| Efficient Clustering of Web-Derived Data Sets | p. 398 |
| A Probabilistic Approach for Constrained Clustering with Topological Map | p. 413 |
| Novelty and Outlier Detection | |
| Relational Frequent Patterns Mining for Novelty Detection from Data Streams | p. 427 |
| A Comparative Study of Outlier Detection Algorithms | p. 440 |
| Outlier Detection with Explanation Facility | p. 454 |
| Learning | |
| Concept Learning from (Very) Ambiguous Examples | p. 465 |
| Finding Top-TV Pseudo Formal Concepts with Core Intents | p. 479 |
| On Fixed Convex Combinations of No-Regret Learners | p. 494 |
| An Improved Tabu Search (ITS) Algorithm Based on Open Cover Theory for Global Extremums | p. 505 |
| The Needles-in-Haystack Problem | p. 516 |
| Data Mining on Multimedia Data | |
| An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding | p. 525 |
| Detection of Masses in Mammographic Images Using SimpsonÆs Diversity Index in Circular Regions and SVM | p. 540 |
| Mining Lung Shape from X-Ray Images | p. 554 |
| A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite Data | p. 569 |
| Spectrum Steganalysis of WAV Audio Streams | p. 582 |
| Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach | p. 594 |
| Learning with a Quadruped Chopstick Robot | p. 603 |
| Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes | p. 617 |
| Text Mining | |
| Using Graph-Kernels to Represent Semantic Information in Text Classification | p. 632 |
| A General Framework of Feature Selection for Text Categorization | p. 647 |
| New Semantic Similarity Based Model for Text Clustering Using Extended Gloss Overlaps | p. 663 |
| Aspects of Data Mining | |
| Learning Betting Tips from UsersÆ Bet Selections | p. 678 |
| An Approach to Web-Scale Named-Entity Disambiguation | p. 689 |
| A General Learning Method for Automatic Title Extraction from HTML Pages | p. 704 |
| Regional Pattern Discovery in Geo-referenced Datasets Using PCA | p. 719 |
| Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series | p. 734 |
| A Neural Approach for SMEÆs Credit Risk Analysis in Turkey | p. 749 |
| Assisting Data Mining through Automated Planning | p. 760 |
| Predictions with Confidence in Applications | p. 775 |
| Data Mining in Medicine | |
| Aligning Bayesian Network Classifiers with Medical Contexts | p. 787 |
| Assessing the Eligibility of Kidney Transplant Donors | p. 802 |
| Lung Nodules Classification in CT Images Using SimpsonÆs Index, Geometrical Measures and One-Class SVM | p. 810 |
| Author Index | p. 823 |
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