Analyzing the interestingness of association rules from the temporal dimension

Analyzing the interestingness of association rules from the temporal dimension

Proceedings - IEEE International Conference on Data Mining, ICDM

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Bibliographic Details
Main Authors: Liu, B., Ma, Y., Lee, R.
Other Authors: COMPUTER SCIENCE
Format: Conference or Workshop Item
Published: 2013
Online Access:http://scholarbank.nus.edu.sg/handle/10635/41652
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Institution: National University of Singapore
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Summary:Proceedings - IEEE International Conference on Data Mining, ICDM

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