Abstract
Knowledge discovery is the effort to find information from data. In contemporary terms, it is the application of tools (from statistics and from artificial intelligence) to extract interesting patterns from data stored in large databases. Here interesting means non-trivial, implicit, previously unknown, and easily understood and described knowledge that can be used ( actionable ).
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Olson, D.L. (2017). Market Basket Analysis. In: Descriptive Data Mining. Computational Risk Management. Springer, Singapore. https://doi.org/10.1007/978-981-10-3340-7_3
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DOI: https://doi.org/10.1007/978-981-10-3340-7_3
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