Machine Learning and Data Mining in Pattern Recognition 7th International Conference, MLDM 2011, New York, NY, USA, August 30 <U+0080>́<U+0093> September 3, 2011. Proceedings

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA. The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, appilication in medicine, Webmining and information mining; and machine learning and image mining. Front Matter....Pages - Quadratically Constrained Maximum a Posteriori Estimation for Binary Classifier....Pages 1-15 Hubness-Based Fuzzy Measures for High-Dimensional k -Nearest Neighbor Classification....Pages 16-30 Decisions: Algebra and Implementation....Pages 31-45 Smoothing Multinomial Naïve Bayes in the Presence of Imbalance....Pages 46-59 ACE-Cost: Acquisition Cost Efficient Classifier by Hybrid Decision Tree with Local SVM Leaves....Pages 60-74 Informative Variables Selection for Multi-relational Supervised Learning....Pages 75-87 Separability of Split Value Criterion with Weighted Separation Gains....Pages 88-98 Granular Instances Selection for Fuzzy Modeling....Pages 99-111 Parameter-Free Anomaly Detection for Categorical Data....Pages 112-126 Fuzzy Semi-supervised Support Vector Machines....Pages 127-139 GENCCS: A Correlated Group Difference Approach to Contrast Set Mining....Pages 140-154 Collective Classification Using Heterogeneous Classifiers....Pages 155-169 Spherical Nearest Neighbor Classification: Application to Hyperspectral Data....Pages 170-184 Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning....Pages 185-198 Boosting Inspired Process for Improving AUC....Pages 199-209 Investigation in Transfer Learning: Better Way to Apply Transfer Learning between Agents....Pages 210-223 Exploration Strategies for Learned Probabilities in Smart Terrain....Pages 224-238 Sensitivity Analysis for Weak Constraint Generation....Pages 239-252 Dictionary Learning Based on Laplacian Score in Sparse Coding....Pages 253-264 A Practical Approach for Clustering Transaction Data....Pages 265-279 Hierarchical Clustering with High Order Dissimilarities....Pages 280-293 Clust-XPaths: Clustering of XML Paths....Pages 294-305 Comparing Clustering and Metaclustering Algorithms....Pages 306-319 Detection of Phenotypes in Microarray Data Using Force- Directed Placement Transformss....Pages 320-334 On the Temporal Behavior of EEG Recorded during Real Finger Movement....Pages 335-347 A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage....Pages 348-361 A Decision Support System Based on the Semantic Analysis of Melanoma Images Using Multi-elitist PSO and SVM....Pages 362-374 Authorship Similarity Detection from Email Messages....Pages 375-386 An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data....Pages 387-398 Comparing the One-vs-One and One-vs-All Methods in Benthic Macroinvertebrate Image Classification....Pages 399-413 Incremental Web-Site Boundary Detection Using Random Walks....Pages 414-427 Discovering Text Patterns by a New Graphic Model....Pages 428-442 Topic Sentiment Change Analysis....Pages 443-457 Adaptive Context Modeling for Deception Detection in Emails....Pages 458-468 Contrasting Correlations by an Efficient Double-Clique Condition....Pages 469-483 Estimating Image Segmentation Difficulty....Pages 484-495 Mining Spatial Trajectories Using Non-parametric Density Functions....Pages 496-510 Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification....Pages 511-523 A Comparison between Haralick ́s Texture Descriptor and the Texture Descriptor Based on Random Sets for Biological Images....Pages 524-538 Unsupervised Discovery of Motifs under Amplitude Scaling and Shifting in Time Series Databases....Pages 539-552 Static Load Balancing of Parallel Mining of Frequent Itemsets Using Reservoir Sampling....Pages 553-567 GA-TVRC: A Novel Relational Time Varying Classifier to Extract Temporal Information Using Genetic Algorithms....Pages 568-583 Detection of Communities and Bridges in Weighted Networks....Pages 584-598 Techniques for Improving Filters in Power Grid Contingency Analysis....Pages 599-611 Back Matter....Pages - This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.