Machine Learning and Data Mining in Pattern Recognition

Its Applications.- Applications in Medicine.- Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule.- Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures.- Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network.- Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM.- Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration.- Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach.- Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding.- Time Series and Sequential Pattern Mining.- Embedding Time Series Data for Classification.- Analysis of Time Series of Graphs: Prediction of Node Presence by Means of Decision Tree Learning.- Disjunctive Sequential Patterns on Single Data Sequence and Its Anti-monotonicity.- Mining Expressive Temporal Associations from Complex Data.- Statistical Supports for Frequent Itemsets on Data Streams.- Mining Images in Computer Vision.- Autonomous Vehicle Steering Based on Evaluative Feedback by Reinforcement Learning.- Cost Integration in Multi-step Viewpoint Selection for Object Recognition.- Support Vector Machine Experiments for Road Recognition in High Resolution Images.- An Automatic Face Recognition System in the Near Infrared Spectrum.- Mining Images and Texture.- Hierarchical Partitions for Content Image Retrieval from Large-Scale Database.- Optimising the Choice of Colours of an Image Database for Dichromats.- An Approach to Mining Picture Objects Based on Textual Cues.- Mining Motion from Sequence.- Activity and Motion Detection Based on Measuring Texture Change.- A New Approach to Human Motion Sequence Recognition with Application to Diving Actions.- Dominant Plane Detection Using Optical Flow and Independent Component Analysis.- Speech Analysis.- Neural Expert Model Applied to Phonemes Recognition.- An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation.- Aspects of Data Mining.- Signature-Based Approach for Intrusion Detection.- Discovery of Hidden Correlations in a Local Transaction Database Based on Differences of Correlations.- An Integrated Approach for Mining Meta-rules.- Data Mining on Crash Simulation Data.- Text Mining.- Pattern Mining Across Domain-Specific Text Collections.- Text Classification Using Small Number of Features.- Low-Level Cursive Word Representation Based on Geometric Decomposition.- Special Track: Industrial Applications of Data Mining.- Supervised Evaluation of Dataset Partitions: Advantages and Practice.- Inference on Distributed Data Clustering.- A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases.- Mixture Random Effect Model Based Meta-analysis for Medical Data Mining.- Semantic Analysis of Association Rules via Item Response Theory.- Temporal Approach to Association Rule Mining Using T-Tree and P-Tree.- Aquaculture Feature Extraction from Satellite Image Using Independent Component Analysis.- Modeling the Organoleptic Properties of Matured Wine Distillates.- Bagging Random Trees for Estimation of Tissue Softness.- Concept Mining for Indexing Medical Literature.