The workshop objective is to present methods for non-trivial extraction of information, implicit in the existing data. The following techniques may be included:
  • Metadata for Data Warehouse and Data Mining
  • ETL-Extracting Transforming and Loading
  • Data Cleaning
  • Data Reduction Techniques
  • Temporal Knowledge Extraction
  • Statistical Methods
  • Machine Learning
  • Neural Networks
  • Bayesian networks
  • Kernel methods
  • Multi-strategy learning
  • Reinforcement learning
  • Unsupervised learning
  • Association Rules
  • Incremental an Online Learning
  • Learning from semi-structured data

EKDB&W plays a key role in many areas of science, business and industry. EKDB&W applications may help to illustrate the utility of these techniques in areas such as:
  • Environmental sciences
  • Space Environment applications
  • Geo-Spatial Data Processing
  • Extracting knowledge from semi-structured data
  • Marketing Research
  • Civil Engineering
  • Oil and mineral industries
  • Image processing
  • User profile modeling
  • Database Marketing
  • Web usage Mining
  • Web Farming
  • Segmentation
  • Prediction