Data mining algorithms and new standards for astronomers

Kai Polsterer, leader of the HITS Astroinformatics (AIN) group, is now chair of the IVOA Knowledge Discovery in Databases group. It’s a special interest group in the network of the International Virtual Observatory Alliance (IVOA).

In this framework, Kai Polsterer and his collaborates represent the interests of the data mining and machine learning communities. The increasing amount of complex data requires automated knowledge discovery methods. Therefore they develop new standards and protocols to allow access to and processing of data sets. This will ensure that data analysis algorithms can be seamlessly executed within the virtual observatory environment. Currently, the group is rewriting their charta and task plan.

Kai Polsterer and his research group at HITS develop methods and software for astronomers and help facilitating the analysis and processing of the rapidly growing amount of data in astronomy.