Abstract
Association rules mining is a basic method in data mining.This paper first introduces the basic concepts of association rules mining and Apriori algorithm. It also provides a parallel association rules model scheme for improving the mining efficiency when treating large numbers of data sets as well as the analyse of the scheme effect. In conclusion we discuss how to apply association rules mining to insurance data sets, find out the knowledge hidden behind the data sets, and provide powerful decision-making support for people. © Springer-Verlag Berlin Heidelberg 2004.
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Tian, J., Zhu, L., Zhang, S., & Huang, G. (2004). Parallelism of association rules mining and its application in insurance operations. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3039, 907–914. https://doi.org/10.1007/978-3-540-25944-2_117
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