Data Mining and Virtual Observatory : Identifying galaxies, Quasars and stars in multi-Wavelength surveys.
Astronomy has become a data-rich science; this transition is often labeled as: “Data Tsunami”. The data are not just increasing in size but also in complexity and dimensionality. Astroinformatics is a new field of science that has emerged from this technology-driven progress. Virtual Observatory, Machine Learning, Data Mining and Grid Computing are just a few examples of the new tools available to scientists. The new concept of data infrastructure named Virtual Observatory (VO) offers an ideal basis for dealing with distributed heterogeneous datasets.
The project aimed at using VO and Data Mining technologies to process data towards the classification of the host of faint radio sources. Multiwavelength data from X-ray, Ultra-Violet, Optical, and Infrared will be used to analyze and classify the host of faint radio population into different classes (i.e. Galaxies, Quasars, and Stars ).