Machine Learning and Data Mining in Pattern Recognition

Accumulation Approach to Constrained Clustering Combination.- Fast Spectral Clustering with Random Projection and Sampling.- How Much True Structure Has Been Discovered?.- Efficient Clustering of Web-Derived Data Sets.- A Probabilistic Approach for Constrained Clustering with Topological Map.- Novelty and Outlier Detection.- Relational Frequent Patterns Mining for Novelty Detection from Data Streams.- A Comparative Study of Outlier Detection Algorithms.- Outlier Detection with Explanation Facility.- Learning.- Concept Learning from (Very) Ambiguous Examples.- Finding Top-N Pseudo Formal Concepts with Core Intents.- On Fixed Convex Combinations of No-Regret Learners.- An Improved Tabu Search (ITS) Algorithm Based on Open Cover Theory for Global Extremums.- The Needles-in-Haystack Problem.- Data Mining on Multimedia Data.- An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding.- Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM.- Mining Lung Shape from X-Ray Images.- A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite Data.- Spectrum Steganalysis of WAV Audio Streams.- Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach.- Learning with a Quadruped Chopstick Robot.- Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes.- Text Mining.- Using Graph-Kernels to Represent Semantic Information in Text Classification.- A General Framework of Feature Selection for Text Categorization.- New SemanticSimilarity Based Model for Text Clustering Using Extended Gloss Overlaps.- Aspects of Data Mining.- Learning Betting Tips from Users' Bet Selections.- An Approach to Web-Scale Named-Entity Disambiguation.- A General Learning Method for Automatic Title Extraction from HTML Pages.- Regional Pattern Discovery in Geo-referenced Datasets Using PCA.- Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series.- A Neural Approach for SME's Credit Risk Analysis in Turkey.- Assisting Data Mining through Automated Planning.- Predictions with Confidence in Applications.- Data Mining in Medicine.- Aligning Bayesian Network Classifiers with Medical Contexts.- Assessing the Eligibility of Kidney Transplant Donors.- Lung Nodules Classification in CT Images Using Simpson's Index, Geometrical Measures and One-Class SVM.