Our course "Data Mining and Predictive Analytics: Methods and Applications" is a compact two day introduction into the foundations of data mining and the software RapidMiner. Due to a high number of practical exercises, the participants will be able to transfer the gained knowledge to own data mining problems and solve them quickly and easily.

You can register to this course online.

Details

• Course ID: 100803
• Date: July 31st - August 1st, 2008
• Number of days: 2 days
• Location: Dortmund, Germany
• Target audience: users, analysts, developers, administrators
• Previous knowledge: basic knowledge of computer programs and mathematics
• Methods: lectures, discussions, individual and group work, exercises on realistic data. Participants may introduce own work and project specific questions in order to find particular solutions together with the trainer and other participants.
• Content: this course is a compact introduction into the foundations of data mining and into the software RapidMiner. It addresses beginners and intermediate learners. Topics of this course are
  • Machine Learning: Decision Trees, Rule Learning, Neural Networks, Nearest Neighbors, Bayes Learning
  • Meta Learning: Bagging and Boosting
  • Preprocessing: Automated Feature Selection and Generation (amongst others with genetic algorithms), Discretization, Normalization, Sampling
  • Validation: introduction into performance criteria, cross validation, bootstrapping
  • Visualization: high-dimensional data visualizations, ROC plots, Self-Organizing Maps (SOM)
  Extensive exercises on different data sets will be performed for all topics.

Prices

Value added tax (VAT) may have to be added to these base prices.