Data Mining and Optimization

Several advanced techniques like Bayesian learning, multidimensional visualizations, neural networks, and DSS (Denoising Source Separation) help in pinpointing the causality and structures in massive data sets.

Dr. Harri Valpola's artificial intelligence data mining methods have been applied successfully for example to climate models, where the method digested huge amounts of data and spotted both existing meteorological findings and previously unknown phenomena. (Warning: this file is 3,68MB in size, so it may take a while to load.)

A sample application area for data mining methods would be the sorting of historical data in order to further optimize a process, or to find the root cause of a certain disruption. ZenRobotics' exceptionally comprehensive background in mathematics, physics, and chemistry is a strong asset when data mining or modeling methods are applied to specialist subject areas. ZenRobotics' know-how comes in handy in optimization tasks where the tools in the shed are not sharp enough.