Abstract
Association rules are the key technology in data mining; it has a very broad applying foreground in many industries. An improved association rules algorithms based on Apriori was proposed in this paper. And it will be used in direct mail data mining. By analyzing the normative database of users’ sets, we can get item set which satisfy the minimal support degree, and form the rule set. We can get more accurate DM data mining results than other methods by testing the post DM database. Experiments indicate the validity of the method.
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Wang, Y., Jin, Y., Li, Y., Geng, K. (2013). DM Data Mining Based on Improved Apriori Algorithm. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 392. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53703-5_37
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DOI: https://doi.org/10.1007/978-3-642-53703-5_37
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