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Published August 2014 | Submitted + Published
Journal Article Open

DAMEWARE: A Web Cyberinfrastructure for Astrophysical Data Mining


Astronomy is undergoing a methodological revolution triggered by an unprecedented wealth of complex and accurate data. The new panchromatic, synoptic sky surveys require advanced tools for discovering patterns and trends hidden behind data which are both complex and of high dimensionality. We present DAMEWARE (DAta Mining & Exploration Web Application REsource): a general purpose, web-based, distributed data mining environment developed for the exploration of large data sets, and finely tuned for astronomical applications. By means of graphical user interfaces, it allows the user to perform classification, regression, or clustering tasks with machine learning methods. Salient features of DAMEWARE include its ability to work on large datasets with minimal human intervention, and to deal with a wide variety of real problems such as the classification of globular clusters in the galaxy NGC1399; the evaluation of photometric redshifts; and, finally, the identification of candidate Active Galactic Nuclei in multiband photometric surveys. In all these applications, DAMEWARE allowed us to achieve better results than those attained with more traditional methods. With the aim of providing potential users with all needed information, in this paper we briefly describe the technological background of DAMEWARE, give a short introduction to some relevant aspects of data mining, followed by a summary of some science cases and, finally, provide a detailed description of a template use case.

Additional Information

© 2014 The Astronomical Society of the Pacific. Received 2014 April 06; accepted 2014 June 10; published 2014 July 21. The authors wish to thank the many students who contributed one way or another to the project. Many of them played such an important role to earn a place in the authors list; some others made small but significant contributions. To all of them we are very grateful. The authors wish also to thank the anonymous referee for his/her many helpful suggestions. DAMEWARE has been a multiyear project funded by many sponsors. The Italian Ministry of Foreign Affairs through a bilateral Great Relevance Italy-USA project; the European funded VO-Tech (Virtual Observatory Technological Infrastructure) 6-th European FW project; the Department of Physics and the Polo della Scienza e Della Tecnologia of the University Federico II in Napoli. GL, MB and SC acknowledge financial support by the Project F.A.R.O., 3rd call by the University Federico II of Naples. GL wish also to thank the financial support by the PRIN-MIUR 2011, Cosmology with the Euclid space mission. SGD, CD, AAM, and MJG acknowledge a partial support from the NSF grants AST-0834235 and IIS-1118041, and the NASA grant 08-AISR08-0085. Some of the work reported here benefited from the discussions which took place during a study and the workshops organized by the Keck Institute for Space Studies at Caltech.

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Published - Brescia_2014p783.pdf

Submitted - 1406.3538v1.pdf


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August 20, 2023
October 17, 2023