2022
DOI: 10.1016/j.asoc.2022.108550
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A statistical feature data mining framework for constructing scholars’ career trajectories in academic data

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Cited by 4 publications
(2 citation statements)
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“…IoT technology can monitor and collect real-time data from various links in the supply chain through sensors, devices, and other means, achieving real-time monitoring of the supply chain. Data Mining Techniques (DMT) can analyze these data and discover hidden patterns and correlations [2][3]. Applying DMT to IoT data can provide enterprises with more accurate and real-time supply chain information, help them make more reasonable decisions, reduce inventory costs, and improve supply chain efficiency.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…IoT technology can monitor and collect real-time data from various links in the supply chain through sensors, devices, and other means, achieving real-time monitoring of the supply chain. Data Mining Techniques (DMT) can analyze these data and discover hidden patterns and correlations [2][3]. Applying DMT to IoT data can provide enterprises with more accurate and real-time supply chain information, help them make more reasonable decisions, reduce inventory costs, and improve supply chain efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…itemset A . Equation(3) shows that the degree of improvement in an AR is determined by the confidence level ratio of the antecedent to the support level of the consequent. This ratio represents the probability of both containing A and the probability of A occurring as a whole under the condition of B occurring.…”
mentioning
confidence: 99%