Advanced Data Mining and Applications.Pt.2

Clustering.- Semi-Supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization.- A Scalable Approach for General Correlation Clustering.- A fast spectral clustering method based on growing vector quantization for large data sets.- A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms.- Software Clustering using Automated Feature Subset Selection.- The Use of Transfer Algorithm for Clustering Categorical Data.- eDARA: Ensembles DARA.- Efficient mining maximal variant and low usage rate biclusters without candidate maintenance in real function-resource matrix: the DeCluster algorithm.- Association Rule Mining.- MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining.- Pattern Mining.- Mining Frequent Patterns in Print Logs with Semantically Alternative Labels.- Minimising K-Dominating Set in Arbitrary Network Graphs.- Regression.- Logistic Regression Bias Correction for Large Scale Data with Rare Events.- An Automatical Moderating System for FML using Hashing Regression.- Batch-to-Batch Iterative Learning Control Based on Kernel Independent Component Regression Model.- Prediction.- Deep Architecture for Traffic Flow Prediction.- Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction.- Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias.- Protein Interaction Hot Spots Prediction using LS-SVM within the Bayesian Interpretation.- Predicting the survival status of cancer patients with Traditional Chinese Medicine Symptom Variation using Logistic Regression Model.- Feature Extraction.- Exploiting Multiple Features for Learning to Rank in Expert Finding.- Convolution Neural Network for Relation Extraction.- Extracting Fuzzy Rules from Hierarchical Heterogeneous Neural Networks for Cardiovascular Diseases Diagnosis.- kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set.- Identification.- Traffic