2020
DOI: 10.1007/978-3-030-55187-2_48
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Data Mining and Machine Learning Techniques for Bank Customers Segmentation: A Systematic Mapping Study

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Cited by 3 publications
(2 citation statements)
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“…[17] is a bibliometric and visual study providing an insight in the FinTech field from 1900 to 2020. Our work differs from [15] and [16] because they are strictly focused on very specific technologies. [17] is very general as it includes every kind of publications (articles, proceedings papers, book chapters, reviews, etc.)…”
Section: A Contribution To the State Of The Artmentioning
confidence: 99%
See 1 more Smart Citation
“…[17] is a bibliometric and visual study providing an insight in the FinTech field from 1900 to 2020. Our work differs from [15] and [16] because they are strictly focused on very specific technologies. [17] is very general as it includes every kind of publications (articles, proceedings papers, book chapters, reviews, etc.)…”
Section: A Contribution To the State Of The Artmentioning
confidence: 99%
“…As said in the state of the art section, only 3 technological reviews in the banking sector exist. [15] and [16] are two mapping studies collecting the use of data mining and machine learning techniques for two different purposes. The first looks at the implementations of such technologies for bank customers segmentation.…”
Section: A Contribution To the State Of The Artmentioning
confidence: 99%