Data mining and knowledge discovery resources for astronomy in the web 2.0 age
- Creators
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Cavuoti, S.
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Brescia, M.
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Longo, G.
Abstract
The emerging field of AstroInformatics, while on the one hand 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. The DAME (DAta Mining and Exploration) Program exposes a series of web-based services to perform scientific investigation on astronomical massive data sets. The engineering design and requirements, driving its development since the beginning of the project, are projected towards a new paradigm of Web based resources, which reflect the final goal to become a prototype of an efficient data mining framework in the data-centric era.
Additional Information
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). The authors wish to thank all present and former members of the DAME Collaboration, in particular prof. G.S. Djorgovski and the Caltech Team for their unlimited contribution over these years of intensive collaboration. DAME has been funded through several grants which are mentioned on the Collaboration web site. GL wishes to thank also the California Institute of Technology for the kind hospitality. MB wish to thank the financial support of PRIN-INAF 2010, "Architecture and Tomography of Galaxy Clusters".Attached Files
Published - 845103.pdf
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Additional details
- Eprint ID
- 98646
- Resolver ID
- CaltechAUTHORS:20190916-084927406
- Istituto Nazionale di Astrofisica (INAF)
- Created
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2019-09-16Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
- Series Name
- Proceedings of SPIE
- Series Volume or Issue Number
- 8451