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22 cze 2024 · The three A-type star spectral data sets with varying signal-to-noise (S/N) ratios, categorized as high (g-band |$\gt $| 30 and i-band |$\gt $| 30), medium (g-band 10–30 and i-band 10–30), and low (g-band |$\lt $| 10 and i-band |$\lt $| 10), are constructed. The task aims to mine the spectra of A-type stars for association rules.
14 sty 2022 · The data mining approach tries to discover useful patterns from a massive dataset and works well for both simulated and real data samples. Their study elaborately explained how data mining can be applied to select active galactic nuclei (AGN) in a better way.
3 lis 2009 · We describe the application of data mining algorithms to research problems in astronomy. We posit that data mining has always been fundamental to astronomical research, since data mining is the...
Understanding the Universe through Big Data analysis and machine learning; Using data science to interpret ground-breaking new observations and simulations of the Sun
Examine how data science approaches like machine learning, data mining, and statistical analysis are used to extract useful insights from enormous datasets. Emphasise the significance of algorithms and models in revealing hidden patterns and occurrences in massive amounts of astronomy data.
One of the key goals of modern astrophysics is to understand cosmic structure formation from scales covering the entire Universe to a single galaxy. To achieve this, many ground- and space-based experiments and observatories are currently being planned and deployed that will gather huge data volumes ...
12 sie 2022 · This work presents a text-mining-based scientometric analysis of the scientific output in the last three decades regarding the use of artificial intelligence and machine learning in the fields of astronomy and astrophysics.