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20082018
most citedDAMEWARE: A web cyberinfrastructure for astrophysical data mining

19 citations · 69 across the 9 of their papers we have counts for

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Showing astro-ph.IMShow all

7 papers · 1 filter

astro-ph.IM2017★ 16 cited

Astrophysics and Big Data: Challenges, Methods, and Tools

Mauro Garofalo, Alessio Botta, Giorgio Ventre

Nowadays there is no field research which is not flooded with data. Among the sciences, Astrophysics has always been driven by the analysis of massive amounts of data. The developm…

astro-ph.IM2016★ 1 cited

DAMEWARE - Data Mining & Exploration Web Application Resource

Massimo Brescia, Stefano Cavuoti, Francesco Esposito +7

Astronomy is undergoing through a methodological revolution triggered by an unprecedented wealth of complex and accurate data. DAMEWARE (DAta Mining & Exploration Web Application a…

astro-ph.IM2014★ 19 cited

DAMEWARE: A web cyberinfrastructure for astrophysical data mining

Massimo Brescia, Stefano Cavuoti, Giuseppe Longo +14

Astronomy is undergoing through a methodological revolution triggered by an unprecedented wealth of complex and accurate data. The new panchromatic, synoptic sky surveys require ad…

astro-ph.IM2013★ 16 cited

Astrophysical data mining with GPU. A case study: genetic classification of globular clusters

Stefano Cavuoti, Mauro Garofalo, Massimo Brescia +4

We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from our CPU serial implementation, na…

astro-ph.IM2012★ 12 cited

Genetic Algorithm Modeling with GPU Parallel Computing Technology

Stefano Cavuoti, Mauro Garofalo, Massimo Brescia +3

We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from a multi-core CPU serial implement…

astro-ph.IM2011★ 2 cited

The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community

M. Brescia, A. Corazza, S. Cavuoti +12

Astronomical data are gathered through a very large number of heterogeneous techniques and stored in very diversified and often incompatible data repositories. Moreover in the e-sc…

astro-ph.IM2010

DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration

Massimo Brescia, Giuseppe Longo, George S. Djorgovski +12

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 simp…