Article

E_Apriori: An Efficient Machine Learning Algorithm for the Control of Malaria

2023-08-21

Abstract excerpt

The discovery of interesting inter-relationships between the different malaria epidemiological parameters is essential towards the disease control. However, existing associative rule-based machine learning algorithms for pattern discovery are slow while working on high-dimensional Malaria Indicator Survey (MIS) data, with the further challenge of data under fitting and inadequate result visualization. Hence, this...

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Literature Corpus work: 10ab8968-dea9-59dd-9251-d2ae66a4d948
DOI: 10.20944/preprints202308.1388.v1

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