DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration
Abstract
Nowadays, many scientific areas share the same need of being able to deal with massive and distributed datasets and to perform on them complex knowledge extraction tasks. This simple consideration is behind the international efforts to build virtual organizations such as, for instance, the Virtual Observatory (VObs). DAME (DAta Mining & Exploration) is an innovative, general purpose, Web-based, VObs compliant, distributed data mining infrastructure specialized in Massive Data Sets exploration with machine learning methods. Initially fine tuned to deal with astronomical data only, DAME has evolved in a general purpose platform which has found applications also in other domains of human endeavor. We present the products and a short outline of a science case, together with a detailed description of main features available in the beta release of the web application now released.
Cite
@article{arxiv.1010.4843,
title = {DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration},
author = {Massimo Brescia and Giuseppe Longo and George S. Djorgovski and Stefano Cavuoti and Raffaele D'Abrusco and Ciro Donalek and Alessandro Di Guido and Michelangelo Fiore and Mauro Garofalo and Omar Laurino and Ashish Mahabal and Francesco Manna and Alfonso Nocella and Giovanni d'Angelo and Maurizio Paolillo},
journal= {arXiv preprint arXiv:1010.4843},
year = {2010}
}
Comments
16 pages, 9 figures, software available at http://voneural.na.infn.it/beta_info.html