Astroinformatics, data mining and the future of astronomical research

Abstract

Astronomy, as many other scientific disciplines, is facing a true data deluge which is bound to change both the praxis and the methodology of every day research work. The emerging field of astroinformatics, while on the one end appears crucial to face the technological challenges, on the other is opening new exciting perspectives for new astronomical discoveries through the implementation of advanced data mining procedures. The complexity of astronomical data and the variety of scientific problems, however, call for innovative algorithms and methods as well as for an extreme usage of ICT technologies.

To appear in the Proceedings of the 2-nd International Conference on Frontiers on diagnostic technologies

References in corpus (2)

• The detection of globular clusters in galaxies as a data mining problem
• Extracting Knowledge From Massive Astronomical Data Sets

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• Astroinformatics based search for globular clusters in the Fornax Deep Survey
• Mol-D a Database and a Web Service within the Serbian Virtual Observatory and the Virtual Atomic and Molecular Data Centre
• Statistical characterization and classification of astronomical transients with Machine Learning in the era of the Vera C. Rubin Observatory
• Astronomy and Computing: a New Journal for the Astronomical Computing Community
• Neural Gas based classification of Globular Clusters
• Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground