2019 Scientific Conference on Network, Power Systems and Computing
,
Pages 60-62
A study on association rules-based mining of consumer product accident information
Yingcheng Xu, Xiuli Ning, Ya Li
Corresponding Author:
Yingcheng Xu
Abstract:
Applying association rules to mining of consumer product accident information, this paper demonstrates the processes for generating item set, transaction set and candidate set, and studies 415 cases of toy products. The results indicate the approach is both feasible and reasonable. The approach may provide technical guidance for mining and analysis of consumer product accident information.
Keywords:
Association rules, consumer product, information
Cite this paper:
Yingcheng Xu, Xiuli Ning, Ya Li, A study on association rules-based mining of consumer product accident information. 2019 Scientific Conference on Network, Power Systems and Computing (NPSC 2019), 2019: 60-62. DOI: https://doi.org/10.33969/EECS.V3.014.