Abstract
In this paper, ARMiner, a data mining tools based on association rules, is introduced. Beginning with the system architecture, the characteristic and the function are displayed in details, including data transfer, concept hierarchy generalization, mining rules with negative items and the re-development of the system. We also show an example of the tool’s application in this paper. Finally, some expectations for future work are presented.
This paper was funded by the National 863 Projects of China No. 863-306-ZT02-05-1.
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Zhou, H., Ruan, B., Zhu, J., Zhu, Y., Shi, B. (2001). ARMiner: A Data Mining Tool Based on Association Rules. In: Wang, X.S., Yu, G., Lu, H. (eds) Advances in Web-Age Information Management. WAIM 2001. Lecture Notes in Computer Science, vol 2118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47714-4_11
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DOI: https://doi.org/10.1007/3-540-47714-4_11
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