131 citations · 214 across the 16 of their papers we have counts for
16 papers
Data Driven Discovery in Astrophysics
G. Longo, M. Brescia, S. G. Djorgovski +2
We review some aspects of the current state of data-intensive astronomy, its methods, and some outstanding data analysis challenges. Astronomy is at the forefront of "big data" sci…
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…
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…
The Catalina Real-time Transient Survey
A. J. Drake, S. G. Djorgovski, A. Mahabal +8
The Catalina Real-time Transient Survey (CRTS) currently covers 33,000 deg^2 of the sky in search of transient astrophysical events, with time baselines ranging from 10 minutes to…
Discovery, classification, and scientific exploration of transient events from the Catalina Real-time Transient Survey
A. A. Mahabal, S. G. Djorgovski, A. J. Drake +8
Exploration of the time domain - variable and transient objects and phenomena - is rapidly becoming a vibrant research frontier, touching on essentially every field of astronomy an…
Extracting Knowledge From Massive Astronomical Data Sets
Massimo Brescia, Stefano Cavuoti, S. G. Djorgovski +3
The exponential growth of astronomical data collected by both ground based and space borne instruments has fostered the growth of Astroinformatics: a new discipline laying at the i…