Advances in Intelligent Data Analysis XI

Intelligent Data Analysis of Human Genetic Data.- Queries for Data Analysis.- Parallel Data Mining Revisited. Better, not Faster.- Weighting Features for Partition Around Medoids Using the Minkowski Metric.- On Initializations for the Minkowski Weighted K-Means.- A Skew-t-normal Multi-level Reduced-rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data.- Methodological Foundation for Sign Language 3D Motion Trajectory Analysis.- Assembly Detection in Continuous Neural Spike Train Data.- Online Techniques for Dealing with Concept Drift in Process Mining.- An Evolutionary Based Clustering Algorithm Applied to Data Compression for Industrial

Systems.- Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns.- Discriminative Dimensionality Reduction Mappings.- Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules.- Curve Fitting for Short Time Series Data from High Throughput Experiments with Correction for Biological Variation.- MCut: A Thresholding Strategy for Multi-label Classification.- Improving Tag Recommendation Using Few Associations.- Identifying Anomalous Social Contexts from Mobile Proximity Data

Using Binomial Mixture Models.- Constrained Clustering Using SAT.- Two-stage Approach for Electricity Consumption Forecasting in Public Buildings.- Online Predictive Model for Taxi Services.- Analysis of Noisy Biosignals for Musical Performance.- Information Theoretic Approach to Improve Performance of Networked Control Systems.- Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval.- Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data.- Applying Piecewise Approximation in Perceptron Training of Conditional Random Fields.- Patch-based DataAnalysis Using Linear-Projection Diffusion.- Dictionary Construction for Patch-to-Tensor Embedding.- Where Are We Going? Predicting the Evolution of Individuals.- Use of General

Prof. Dr. Frank Klawonn ist an der FH Braunschweig (Bereich Data Mining, Fuzzy-Systeme, neuronale Netze und evolutionäre Algorithmen) tätig.