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Petra Perner
Front matter
1-15
Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization
16-28
Selection of Subsets of Ordered Features in Machine Learning
29-43
Combination of Vector Quantization and Visualization
44-52
Discretization of Target Attributes for Subgroup Discovery
53-67
Preserving Privacy in Time Series Data Classification by Discretization
68-81
Using Resampling Techniques for Better Quality Discretization
82-95
A Large Margin Classifier with Additional Features
96-106
Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier
107-122
Optimal Double-Kernel Combination for Classification
123-136
Efficient AdaBoost Region Classification
137-147
A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation
148-162
PMCRI: A Parallel Modular Classification Rule Induction Framework
163-177
Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method
178-190
ODDboost: Incorporating Posterior Estimates into AdaBoost
191-205
Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach
206-220
Relevance and Redundancy Analysis for Ensemble Classifiers
221-235
Drift-Aware Ensemble Regression
236-250
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees
251-265
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies
266-279
Pattern Mining with Natural Language Processing: An Exploratory Approach
280-294
Is the Distance Compression Effect Overstated? Some Theory and Experimentation
295-310
Fast Local Support Vector Machines for Large Datasets
311-321
The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines
322-336
Towards B-Coloring of SOM
337-346
CSBIterKmeans: A New Clustering Algorithm Based on Quantitative Assessment of the Clustering Quality
347-360
Agent-Based Non-distributed and Distributed Clustering
361-371
An Evidence Accumulation Approach to Constrained Clustering Combination
372-384
Fast Spectral Clustering with Random Projection and Sampling
385-397
How Much True Structure Has Been Discovered? Validating Explorative Clustering on a Hold-Out Test Set
398-412
Efficient Clustering of Web-Derived Data Sets
413-426
A Probabilistic Approach for Constrained Clustering with Topological Map
427-439
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
440-453
A Comparative Study of Outlier Detection Algorithms
454-464
Outlier Detection with Explanation Facility
465-478
Concept Learning from (Very) Ambiguous Examples
479-493
Finding Top-N Pseudo Formal Concepts with Core Intents
494-504
On Fixed Convex Combinations of No-Regret Learners
505-515
An Improved Tabu Search (ITS) Algorithm Based on Open Cover Theory for Global Extremums
516-524
The Needles-in-Haystack Problem
525-539
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
540-553
Detection of Masses in Mammographic Images Using Simpson’s Diversity Index in Circular Regions and SVM
554-568
Mining Lung Shape from X-Ray Images
569-581
A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite Data
582-593
Spectrum Steganalysis of WAV Audio Streams
594-602
Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach
603-616
Learning with a Quadruped Chopstick Robot
617-631
Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes
632-646
Using Graph-Kernels to Represent Semantic Information in Text Classification
647-662
A General Framework of Feature Selection for Text Categorization
663-677
New Semantic Similarity Based Model for Text Clustering Using Extended Gloss Overlaps
678-688
Learning Betting Tips from Users’ Bet Selections
689-703
An Approach to Web-Scale Named-Entity Disambiguation
704-718
A General Learning Method for Automatic Title Extraction from HTML Pages
719-733
Regional Pattern Discovery in Geo-referenced Datasets Using PCA
734-748
Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series
749-759
A Neural Approach for SME’s Credit Risk Analysis in Turkey
760-774
Assisting Data Mining through Automated Planning
775-786
Predictions with Confidence in Applications
787-801
Aligning Bayesian Network Classifiers with Medical Contexts
802-809
Assessing the Eligibility of Kidney Transplant Donors
810-822
Lung Nodules Classification in CT Images Using Simpson’s Index, Geometrical Measures and One-Class SVM
Back matter
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