Advances in Intelligent Data Analysis XI [E-Book]: 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings / edited by Jaakko Hollmén, Frank Klawonn, Allan Tucker.
Hollmén, Jaakko.
Klawonn, Frank. / Tucker, Allan.
Berlin, Heidelberg : Springer Berlin Heidelberg : 2012
Imprint: Springer,
XIV, 426 p. 136 illus. digital.
englisch
9783642341564
10.1007/978-3-642-34156-4
Lecture notes in computer science ; 7619
Full Text
Table of Contents:
  • 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 IndustrialSystems
  • 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 DataUsing 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 Data Analysis Using Linear-Projection Diffusion
  • Dictionary Construction for Patch-to-Tensor Embedding
  • Where Are We Going? Predicting the Evolution of Individuals
  • Use of General Purpose GPU Programing to Enhance the Classification of Leukaemia Blast Cells in Blood Smear Images
  • Intelligent Data Analysis by a Home-Use Human Monitoring Robot
  • Sleep Musicalization: Automatic Music Composition from Sleep Measurements
  • Engine Parameter Outlier Detection: Verification by Simulating PID Controllers Generated by Genetic Algorithm
  • Unit Operational Pattern Analysis and Forecasting using EMD and SSA for Industrial Systems..