Knowledge discovery in data: Difference between revisions
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Knowledge discovery in data is the automated process of identifying patterns and other valuable information in large sets of data. | Knowledge discovery in data is the automated process of identifying patterns and other valuable information in large sets of data. | ||
It is also known as | It is also known as knowledge discovery in ''data sets'' or ''data mining''. | ||
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*[[Artificial intelligence]] | *[[Artificial intelligence]] | ||
*[[Big data]] | *[[Big data]] | ||
* [[Data]] | |||
* [[Database]] | |||
*[[General Data Protection Regulation]] | *[[General Data Protection Regulation]] | ||
*[[Granular]] | *[[Granular]] | ||
Latest revision as of 12:30, 13 July 2022
Information technology.
(KDD).
Knowledge discovery in data is the automated process of identifying patterns and other valuable information in large sets of data.
It is also known as knowledge discovery in data sets or data mining.
