2023
DOI: 10.1016/j.ipm.2022.103121
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An efficient smart data mining framework based cloud internet of things for developing artificial intelligence of marketing information analysis

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Cited by 24 publications
(13 citation statements)
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“…In addition, the potential influence of the specificity of the enterprise should be taken into account. In this sense, the general tendency regarding the limitation of the results, defined in works [6,12,18], remains. But in contrast to the results reported in [8,9,15], our principles of choosing a CRM system in the context of the basis of information and analytical support are invariant with respect to the location of the enterprise, so we can talk about the scalability of the results.…”
Section: Discussion Of Results Of Defining a Procedures For Choosing ...mentioning
confidence: 99%
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“…In addition, the potential influence of the specificity of the enterprise should be taken into account. In this sense, the general tendency regarding the limitation of the results, defined in works [6,12,18], remains. But in contrast to the results reported in [8,9,15], our principles of choosing a CRM system in the context of the basis of information and analytical support are invariant with respect to the location of the enterprise, so we can talk about the scalability of the results.…”
Section: Discussion Of Results Of Defining a Procedures For Choosing ...mentioning
confidence: 99%
“…It should be noted that the use of modern IS and ICT in marketing has formed such phenomena as Internet marketing [5][6][7][8][9] and digital marketing [10][11][12][13][14][15][16][17][18].…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
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“…To fully reap these benefits and handle problems, more study is needed on infrastructure needs and privacy issues. The paper [18] presents trustworthy algorithms for the Internet of Things' security framework. On actual marketing data for the bank obtained from the Cloud Internet of Things, these algorithms, which include Simple Bayes (NB), Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), ID3, and C4.5, are applied (CIoT).…”
Section: Related Workmentioning
confidence: 99%