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2009 WRI World Congress on Computer Science and Information Engineering
Efficient Mining of Weighted Temporal Association Rules
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
Notice of Violation of IEEE Publication Principles

"Efficient Mining of Weighted Temporal Association Rules"

by Kanak Saxena
in the Proceedings of the 2009 World Congress on Computer Science and Information Engineering, March 2009, pp. 421-425

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains significant portions of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following articles:

"A Representation of Time Series for Temporal Web Mining"
by Mireille Samia
in the Proceedings of the 16th GI-Workshop on the Foundation of Databases, June 2004, pp. 103-107

"Mining Association Relationship in a Temporal Database"
by Chang-Hung Lee
in his PhD Thesis, National Taiwan University, Taipei, Taiwan, May 2002

Citation:
Kanak Saxena, "Efficient Mining of Weighted Temporal Association Rules," csie, vol. 4, pp.421-425, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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