We discuss some preliminary results of our ongoing efforts to implement a new generation of data mining tools, largely based on neural networks and specifically tailored to work in a distributed computing environment. These tools have been applied to the Sloan Digital Sky Survey public dataset to produce a 3-D map of the galaxy distribution in the nearby universe.
Mining the Structure of the Nearby Universe / D'Abrusco, Raffaele; Longo, Giuseppe; Brescia, Massimo; DE FILIPPIS, Elisabetta; Paolillo, Maurizio; Staiano, Antonino; Tagliaferri, Roberto. - In: MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING. - ISSN 0965-0393. - (2007), pp. 125-133. (Intervento presentato al convegno 6th International Workshop on Data Analysis in Astronomy "Livio Scarsi" tenutosi a Erice, Italy nel Aprile 2007) [10.1142/9789812779458_0015].
Mining the Structure of the Nearby Universe
GIUSEPPE LONGO;MASSIMO BRESCIA;MAURIZIO PAOLILLO;
2007
Abstract
We discuss some preliminary results of our ongoing efforts to implement a new generation of data mining tools, largely based on neural networks and specifically tailored to work in a distributed computing environment. These tools have been applied to the Sloan Digital Sky Survey public dataset to produce a 3-D map of the galaxy distribution in the nearby universe.| File | Dimensione | Formato | |
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