This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The topics range 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.
Author(s): Pavel Turkov, Olga Krasotkina, Vadim Mottl (auth.), Petra Perner (eds.)
Series: Lecture Notes in Computer Science 7376 Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2012
Language: English
Pages: 680
City: Berlin ; New York
Tags: Artificial Intelligence (incl. Robotics); Mathematical Logic and Formal Languages; Database Management; Data Mining and Knowledge Discovery; Pattern Recognition; Image Processing and Computer Vision
Front Matter....Pages -
Bayesian Approach to the Concept Drift in the Pattern Recognition Problems....Pages 1-10
Transductive Relational Classification in the Co-training Paradigm....Pages 11-25
Generalized Nonlinear Classification Model Based on Cross-Oriented Choquet Integral....Pages 26-39
A General Lp-norm Support Vector Machine via Mixed 0-1 Programming....Pages 40-49
Reduction of Distance Computations in Selection of Pivot Elements for Balanced GHT Structure....Pages 50-62
Hot Deck Methods for Imputing Missing Data....Pages 63-75
BINER....Pages 76-85
A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis....Pages 86-101
Top- N Minimization Approach for Indicative Correlation Change Mining....Pages 102-116
Selecting Classification Algorithms with Active Testing....Pages 117-131
Comparing Logistic Regression, Neural Networks, C5.0 and M5′ Classification Techniques....Pages 132-140
Unsupervised Grammar Inference Using the Minimum Description Length Principle....Pages 141-153
How Many Trees in a Random Forest?....Pages 154-168
Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy....Pages 169-182
A New Learning Structure Heuristic of Bayesian Networks from Data....Pages 183-197
Discriminant Subspace Learning Based on Support Vectors Machines....Pages 198-212
A New Learning Strategy of General BAMs....Pages 213-221
Proximity-Graph Instance-Based Learning, Support Vector Machines, and High Dimensionality: An Empirical Comparison....Pages 222-236
Semi Supervised Clustering: A Pareto Approach....Pages 237-251
Semi-supervised Clustering: A Case Study....Pages 252-263
SOStream: Self Organizing Density-Based Clustering over Data Stream....Pages 264-278
Clustering Data Stream by a Sub-window Approach Using DCA....Pages 279-292
Improvement of K-means Clustering Using Patents Metadata....Pages 293-305
Content Independent Metadata Production as a Machine Learning Problem....Pages 306-320
Discovering K Web User Groups with Specific Aspect Interests....Pages 321-335
An Algorithm for the Automatic Estimation of Image Orientation....Pages 336-344
Multi-label Image Annotation Based on Neighbor Pair Correlation Chain....Pages 345-354
Enhancing Image Retrieval by an Exploration-Exploitation Approach....Pages 355-365
Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming....Pages 366-379
Combination of Physiological and Behavioral Biometric for Human Identification....Pages 380-393
Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition....Pages 394-404
Computer Recognition of Facial Expressions of Emotion....Pages 405-414
Outcome Prediction for Patients with Severe Traumatic Brain Injury Using Permutation Entropy Analysis of Electronic Vital Signs Data....Pages 415-426
EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization....Pages 427-438
DAGSVM vs. DAGKNN: An Experimental Case Study with Benthic Macroinvertebrate Dataset....Pages 439-453
Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM....Pages 454-466
Comparative Analysis of Feature Selection Methods for Blood Cell Recognition in Leukemia....Pages 467-481
Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh’s Diversity Index and SVM....Pages 482-494
A Semi-Automated Approach to Building Text Summarisation Classifiers....Pages 495-509
A Pattern Recognition System for Malicious PDF Files Detection....Pages 510-524
Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix....Pages 525-539
A Pattern Discovery Model for Effective Text Mining....Pages 540-554
Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering....Pages 555-565
Mining Ranking Models from Dynamic Network Data....Pages 566-577
Machine Learning-Based Classification of Encrypted Internet Traffic....Pages 578-592
Application of Bagging, Boosting and Stacking to Intrusion Detection....Pages 593-602
Classification of Elementary Stamp Shapes by Means of Reduced Point Distance Histogram Representation....Pages 603-616
A Multiclassifier Approach for Drill Wear Prediction....Pages 617-630
Measuring the Dynamic Relatedness between Chinese Entities Orienting to News Corpus....Pages 631-644
Prediction of Telephone User Attributes Based on Network Neighborhood Information....Pages 645-659
A Hybrid Approach to Increase the Performance of Protein Folding Recognition Using Support Vector Machines....Pages 660-668
Back Matter....Pages -
