| On ECOC as binary ensemble classifiers | p. 1 |
| Incremental classification rules based on association rules using formal concept analysis | p. 11 |
| Parameter inference of cost-sensitive boosting algorithms | p. 21 |
| Finite mixture models with negative components | p. 31 |
| MML-based approach for finite dirichlet mixture estimation and selection | p. 42 |
| Principles of multi-kernel data mining | p. 52 |
| Comparative analysis of genetic algorithm, simulated annealing and cutting angle method for artificial neural networks | p. 62 |
| Determining regularization parameters for derivative free neural learning | p. 71 |
| A comprehensible SOM-based scoring system | p. 80 |
| The convex subclass method : combinatorial classifier based on a family of convex sets | p. 90 |
| SSC : statistical subspace clustering | p. 100 |
| Understanding patterns with different subspace classification | p. 110 |
| Using clustering to learn distance functions for supervised similarity assessment | p. 120 |
| Linear manifold clustering | p. 132 |
| Universal clustering with regularization in probabilistic space | p. 142 |
| Acquisition of concept descriptions by conceptual clustering | p. 153 |
| Clustering large dynamic datasets using exemplar points | p. 163 |
| Birds of a feather surf together : using clustering methods to improve navigation prediction from interact log files | p. 174 |
| Alarm clustering for intrusion detection systems in computer networks | p. 184 |
| Clustering document images using graph summaries | p. 194 |
| Feature selection method using preferences aggregation | p. 203 |
| Ranked modelling with feature selection based on the CPL criterion functions | p. 218 |
| A grouping method for categorical attributes having very large number of values | p. 228 |
| Unsupervised learning of visual feature hierarchies | p. 243 |
| Multivariate discretization by recursive supervised bipartition of graph | p. 253 |
| CorePhrase : keyphrase extraction for document clustering | p. 265 |
| A new multidimensional feature transformation for linear classifiers and its applications | p. 275 |
| Comparison of FLDA, MLP and SVM in diagnosis of lung nodule | p. 285 |
| Diagnosis of lung nodule using reinforcement learning and geometric measures | p. 295 |
| Iris recognition algorithm based on point covering of high-dimensional space and neural network | p. 305 |
| Automatic clinical image segmentation using pathological modelling, PCA and SVM | p. 314 |
| Improved MRI mining by integrating support vector machine priors in the bayesian restoration | p. 325 |
| Prediction of secondary protein structure content from primary sequence alone - a feature selection based approach | p. 334 |
| Alternative clustering by utilizing multi-objective genetic algorithm with linked-list based chromosome encoding | p. 346 |
| Embedding time series data for classification | p. 356 |
| Analysis of time series of graphs : prediction of node presence by means of decision tree learning | p. 366 |
| Disjunctive sequential patterns on single data sequence and its ant-monotonicity | p. 376 |
| Mining expressive temporal associations from complex data | p. 384 |
| Statistical supports for frequent itemsets on data streams | p. 395 |
| Autonomous vehicle steering based on evaluative feedback by reinforcement learning | p. 405 |
| Cost integration in multi-step viewpoint selection for object recognition | p. 415 |
| Support vector machine experiments for road recognition in high resolution images | p. 426 |
| An automatic face recognition system in the near infrared spectrum | p. 437 |
| Hierarchical partitions for content image retrieval from large-scale database | p. 445 |
| Optimising the choice of colours of an image database for dichromats | p. 456 |
| An approach to mining picture objects based on textual cues | p. 466 |
| Activity and motion detection based on measuring texture change | p. 476 |
| A new approach to human motion sequence recognition with application to diving actions | p. 487 |
| Dominant plane detection using optical flow and independent component analysis | p. 497 |
| Neural expert model applied to phonemes recognition | p. 507 |
| An evidential reasoning approach to weighted combination of classifiers for word sense disambiguation | p. 516 |
| Signature-based approach for intrusion detection | p. 526 |
| Discovery of hidden correlations in a local transaction database based on differences of correlations | p. 537 |
| An integrated approach for mining meta-rules | p. 549 |
| Data mining on crash simulation data | p. 558 |
| Pattern mining across domain-specific text collections | p. 570 |
| Text classification using small number of features | p. 580 |
| Low-level cursive word representation based on geometric decomposition | p. 590 |
| Supervised evaluation of dataset partitions : advantages and practice | p. 600 |
| Inference on distributed data clustering | p. 610 |
| A novel approach of multilevel positive and negative association rule mining for spatial databases | p. 620 |
| Mixture random effect model based meta-analysis for medical data mining | p. 630 |
| Semantic analysis of association rules via item response theory | p. 641 |
| Temporal approach to association rule mining using T-tree and P-tree | p. 651 |
| Aquaculture feature extraction from satellite image using independent component analysis | p. 660 |
| Modeling the organoleptic properties of matured wine distillates | p. 667 |
| Bagging random trees for estimation of tissue softness | p. 674 |
| Concept mining for indexing medical literature | p. 682 |
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