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{{notability|date=May 2024}}
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'''Data-driven astronomy (DDA)''' refers to the use of [[data science]] in [[astronomy]]. Several outputs of [[Telescopic observational astronomy|telescopic observations]] and [[Astronomical survey|sky surveys]] are taken into consideration and approaches related to [[data mining]] and big data management are used to analyze, filter, and [[Normalization (statistics)|normalize]] the [[data set]] that are further used for making Classifications, Predictions, and Anomaly detections by [[Advances in Statistics|advanced Statistical approaches]], [[digital image processing]] and [[machine learning]]. The output of these processes is used by [[astronomer]]s and space scientists to study and identify patterns, anomalies, and movements in outer space and conclude theories and discoveries in the [[cosmos]].
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