16 July 2019

MATA KULIAH UBHARA SURABAYA

SAP, SILABI, KURIKULUM, GBBP, MODUL

Proceedings of “The 6th SEAMS-UGM Conference 2011”

October 8, 2012 by   Leave a comment

SURVEY OF METHODS FOR MONITORING
ASSOCIATION RULE BEHAVIOR

Ani Dijah Rahajoe, Edi Winarko

Abstract. Much of the existing research in data mining focused on how to generate
rules eciently from static databases. However, it is often the database for generating
the rules has been collected over a considerable period of time, making it subject to
changes than not. As a result, it is possible that the underlying rules will also be subject
to change as a function of time. As an example, consider the personalization of web sites,
changes in topology of the web site may result in di erent user navigation behaviour.
Observation on the changing of the rules could provide more useful information that the
rules themselves. In this paper, we survey di erent methods for monitoring the behaviour
of association rules over periods of time.
Keywords and Phrases: Data mining, Association rules, rule evolution, rule monitoring.

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