Machine Learning and Data Mining in Pattern Recognition: 9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings (Lecture Notes in Computer Science, 7988)

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. Front Matter....Pages - The Gapped Spectrum Kernel for Support Vector Machines....Pages 1-15 Typhoon Damage Scale Forecasting with Self-Organizing Maps Trained by Selective Presentation Learning....Pages 16-26 Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks....Pages 27-41 Multi Model Transfer Learning with RULES Family....Pages 42-56 3D Geovisualisation Techniques Applied in Spatial Data Mining....Pages 57-68 Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow....Pages 69-83 Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going from Fingerspelling to Natural Articulated Words....Pages 84-98 Classification and Outlier Detection Based on Topic Based Pattern Synthesis....Pages 99-114 Decremental Learning of Evolving Fuzzy Inference Systems: Application to Handwritten Gesture Recognition....Pages 115-129 Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering....Pages 130-143 Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease....Pages 144-158 Multi-document Text Summarization Using Topic Model and Fuzzy Logic....Pages 159-168 A Pattern Based Two-Stage Text Classifier....Pages 169-182 Applying a Lightweight Iterative Merging Chinese Segmentation in Web Image Annotation....Pages 183-194 Relevance as a Metric for Evaluating Machine Learning Algorithms....Pages 195-208 Preceding Rule Induction with Instance Reduction Methods....Pages 209-218 Analytic Feature Selection for Support Vector Machines....Pages 219-233 Evaluation of Hyperspectral Image Classification Using Random Forest and Fukunaga-Koontz Transform....Pages 234-245 SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms....Pages 246-259 Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland....Pages 260-274 Density Ratio Estimation in Support Vector Machine for Better Generalization: Study on Direct Marketing Prediction....Pages 275-280 Pacc - A Discriminative and Accuracy Correlated Measure for Assessment of Classification Results....Pages 281-295 A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion....Pages 296-310 Relation Decomposition: The Theory....Pages 311-324 Using Turning Point Detection to Obtain Better Regression Trees....Pages 325-339 Automatic Classification of Web Databases Using Domain-Dictionaries....Pages 340-351 An Efficient and Scalable Algorithm for Mining Maximal....Pages 352-366 Partial Discharge Analysis and Inspection Alert Generation in High Power Transformers: A Case Study of an Autotransformer Bank at Eletrobrás-ELETRONORTE Vila do Conde Station....Pages 367-378 Smart Meter Data Analysis for Power Theft Detection....Pages 379-389 Discovering Frequent Itemsets on Uncertain Data: A Systematic Review....Pages 390-404 Mining Groups of Common Interest: Discovering Topical Communities with Network Flows....Pages 405-420 Optimal Time Segments for Stress Detection....Pages 421-433 Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification....Pages 434-441 A Comparative Study on Mobile Visual Recognition....Pages 442-457 Accuracy-Based Classification EM: Combining Clustering with Prediction....Pages 458-465 When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency....Pages 466-480 Lazy Overfitting Control....Pages 481-491 Using Part of Speech N-Grams for Improving Automatic Speech Recognition of Polish....Pages 492-504 An Empirical Study of Reducing Multiclass Classification Methodologies....Pages 505-519 EEG Feature Selection Based on Time Series Classification....Pages 520-527 DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines....Pages 528-542 Information Gap Analysis for Decision Support Systems in Evidence-Based Medicine....Pages 543-554 TISA: Topic Independence Scoring Algorithm....Pages 555-570 Pre-release Box-Office Success Prediction for Motion Pictures....Pages 571-585 Shifting Concepts to Their Associative Concepts via Bridges....Pages 586-600 Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data....Pages 601-615 A Lightweight Combinatorial Approach for Inferring the Ground Truth from Multiple Annotators....Pages 616-628 Large Scale Visual Classification with Many Classes....Pages 629-643 Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers....Pages 644-657 Back Matter....Pages -