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#REDIRECT [[Data driven Astronomy]]'''Data Driven Astronomy (DDA)''' refers to the use of [[Data science|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|datasets]] that are further used for making Classifications, Predictions, and Anomaly detections by [[Advances in Statistics|advanced Statistical approaches]], [[Digital image processing|Digital Image Processing]] and [[Machine learning|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]].
== History ==
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