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Astronomy in the Big Data Era
Author(s) -
Yanxia Zhang,
Yongheng Zhao
Publication year - 2015
Publication title -
data science journal
Language(s) - English
Resource type - Journals
ISSN - 1683-1470
DOI - 10.5334/dsj-2015-011
Subject(s) - big data , sky , data science , astronomy , computer science , face (sociological concept) , software , physics , data mining , sociology , social science , programming language
The fields of Astrostatistics and Astroinformatics are vital for dealing with the big data issues now faced by astronomy. Like other disciplines in the big data era, astronomy has many V characteristics. In this paper, we list the different data mining algorithms used in astronomy, along with data mining software and tools related to astronomical applications. We present SDSS, a project often referred to by other astronomical projects, as the most successful sky survey in the history of astronomy and describe the factors influencing its success. We also discuss the success of Astrostatistics and Astroinformatics organizations and the conferences and summer schools on these issues that are held annually. All the above indicates that astronomers and scientists from other areas are ready to face the challenges and opportunities provided by massive data volume

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