Machine Learning and Data Mining in Pattern Recognition

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