Astroinformatics is an interdisciplinary field of study involving the combination of astronomy, data science, machine learning, informatics, and information/communications technologies.[2][3] The field is closely related to astrostatistics.
Data-driven astronomy (DDA) refers to the use of data science in astronomy. Several outputs of telescopic observations and sky surveys are taken into consideration and approaches related to data mining and big data management are used to analyze, filter, and normalize the data set that are further used for making Classifications, Predictions, and Anomaly detections by advanced Statistical approaches, digital image processing and machine learning. The output of these processes is used by astronomers and space scientists to study and identify patterns, anomalies, and movements in outer space and conclude theories and discoveries in the cosmos.
- ^ "Largest Galaxy Proto-Supercluster Found - Astronomers using ESO's Very Large Telescope uncover a cosmic titan lurking in the early Universe". www.eso.org. Retrieved 18 October 2018.
- ^ Cite error: The named reference
astroinfowas invoked but never defined (see the help page). - ^ Astroinformatics and digitization of astronomical heritage Archived 2017-12-26 at the Wayback Machine, Nikolay Kirov. The fifth SEEDI International Conference Digitization of cultural and scientific heritage, May 19–20, 2010, Sarajevo. Retrieved 1 November 2012.