A computational theoretical approach for mining data on transient events from databases of high energy astrophysics experiments
Instrumentation and Methods for Astrophysics
2020-04-09 v1 Artificial Intelligence
Abstract
Data on transient events, like GRBs, are often contained in large databases of unstructured data from space experiments, merged with potentially large amount of background or simply undesired information. We present a computational formal model to apply techniques of modern computer science -such as Data Mining (DM) and Knowledge Discovering in Databases (KDD)- to a generic, large database derived from a high energy astrophysics experiment. This method is aimed to search, identify and extract expected information, and maybe to discover unexpected information .
Keywords
Cite
@article{arxiv.2004.04131,
title = {A computational theoretical approach for mining data on transient events from databases of high energy astrophysics experiments},
author = {Francesco Lazzarotto and Marco Feroci and Maria Teresa Pazienza},
journal= {arXiv preprint arXiv:2004.04131},
year = {2020}
}
Comments
9 pages, 6 figures (in colors). Conference poster at Third Rome Workshop on Gamma-Ray Bursts in the Afterglow Era, Held 27-30 September 2002 at CNR Headquarters, Rome, Italy