SARM — Succinct Association Rule Mining: An Approach to Enhance Association Mining
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/11425274_13.pdf
Reference8 articles.
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3. Deogun, J., Jiang, L., Xie, Y., Raghavan, V.: Probability logic modeling of knowledge discovery in databases. In: Proc. of Foundations of Intelligent Systems, 14th International Symposium, ISMIS (2003)
4. Agrawal, R., et al.: Mining association rules between sets of items in large databases. In: Proc. of ACM SIGMOD Intern. Conf. on Management of Data (1993)
5. Ganter, B., Wille, R.: Formal Concept Analsis: Mathematical Foundations. Springer, Berlin (1999)
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