Machine Learning and Data Mining in Pattern Recognition: 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings

Front Matter....Pages I-IX
Front Matter....Pages 1-1
Greedy Graph Edit Distance....Pages 3-16
Learning Heuristics to Reduce the Overestimation of Bipartite Graph Edit Distance Approximation....Pages 17-31
Seizure Prediction by Graph Mining, Transfer Learning, and Transformation Learning....Pages 32-52
Front Matter....Pages 53-53
Local and Global Genetic Fuzzy Pattern Classifiers....Pages 55-69
IKLTSA: An Incremental Kernel LTSA Method....Pages 70-83
Front Matter....Pages 85-85
SentiSAIL: Sentiment Analysis in English, German and Russian....Pages 87-97
Sentiment Analysis for Government: An Optimized Approach....Pages 98-112
Front Matter....Pages 113-113
A Novel Algorithm for the Integration of the Imputation of Missing Values and Clustering....Pages 115-129
Improving the Algorithm for Mapping of OWL to Relational Database Schema....Pages 130-139
Robust Principal Component Analysis of Data with Missing Values....Pages 140-154
Front Matter....Pages 155-155
Efficient Mining of High-Utility Sequential Rules....Pages 157-171
MOGACAR: A Method for Filtering Interesting Classification Association Rules....Pages 172-183
Front Matter....Pages 185-185
Classifying Grasslands and Cultivated Pastures in the Brazilian Cerrado Using Support Vector Machines, Multilayer Perceptrons and Autoencoders....Pages 187-198
Hybrid Approach for Inductive Semi Supervised Learning Using Label Propagation and Support Vector Machine....Pages 199-213
Front Matter....Pages 215-215
Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce....Pages 217-231
Aggregation-Aware Compression of Probabilistic Streaming Time Series....Pages 232-247
Front Matter....Pages 249-249
Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF)....Pages 251-265
On Bicluster Aggregation and its Benefits for Enumerative Solutions....Pages 266-280
Semi-Supervised Stream Clustering Using Labeled Data Points....Pages 281-295
Avalanche: A Hierarchical, Divisive Clustering Algorithm....Pages 296-310
Front Matter....Pages 311-311
Author Attribution of Email Messages Using Parse-Tree Features....Pages 313-327
Query Click and Text Similarity Graph for Query Suggestions....Pages 328-341
Offline Writer Identification in Tamil Using Bagged Classification Trees ....Pages 342-354
Front Matter....Pages 355-355
Data Analysis for Courses Registration....Pages 357-367
Learning the Relationship Between Corporate Governance and Company Performance Using Data Mining....Pages 368-381
A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization....Pages 382-394
Data Driven Geometry for Learning....Pages 395-402
Mining Educational Data to Predict Students’ Academic Performance....Pages 403-414
Patient-Specific Modeling of Medical Data....Pages 415-424
A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis....Pages 425-437
Front Matter....Pages 439-439
Automatic Cell Tracking and Kinetic Feature Description of Cell Paths for Image Mining....Pages 441-451
Back Matter....Pages 453-454