Project developing an industry neutral and tool neutral Data Mining process model. Starting from the embryonic knowledge discovery processes used in industry today and responding directly to user requirements.
Data mining or knowledge discovery in databases, is a new research area developing methods and systems for extracting interesting and useful information from large sets of data. University of Helsinki.
Group combining modern statistical methods, machine learning, and knowledge of specific application areas to develop new approaches to data mining. University of Toronto.
Algorithmic and systems solutions for knowledge acquisition from distributed data sets. Work from AIRL, Dept. of CS, Iowa State University.
Exploratory data analysis through machine learning and visualization. Work from AIRL, Dept. of CS, Iowa State University.
A project on application of visual datamining in material research. The project uses parallel coordinates for multivariate visualization.
Information on KDD applications and systems. Also includes a glossary and success stories.
Group at Microsoft focused on learning from data and data mining. By building software that automatically learns from data, enable applications that do intelligent tasks such as handwriting recognition, and help human data analysts explore their data.
A project for exploratory data analysis, aiming to improve responses for large database queries. Through Bell Labs.
Non-biological intelligence concept based on a matrix reasoning algorithm representing an intelligent data understanding system. The NBI-algorithm allows for unsupervised hierarchical multi-dimensional clustering based on hundreds of parameters.
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