Data mining algorithms and new standards for astronomers

3. February 2016

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.

About HITS

HITS, the Heidelberg Institute for Theoretical Studies, was established in 2010 by physicist and SAP co-founder Klaus Tschira (1940-2015) and the Klaus Tschira Foundation as a private, non-profit research institute. HITS conducts basic research in the natural, mathematical, and computer sciences. Major research directions include complex simulations across scales, making sense of data, and enabling science via computational research. Application areas range from molecular biology to astrophysics. An essential characteristic of the Institute is interdisciplinarity, implemented in numerous cross-group and cross-disciplinary projects. The base funding of HITS is provided by the Klaus Tschira Foundation.

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