Proceedings of the CUBE International Information Technology Conference 2012
DOI: 10.1145/2381716.2381853
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An efficient info-gain algorithm for finding frequent sequential traversal patterns from web logs based on dynamic weight constraint

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Cited by 8 publications
(3 citation statements)
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“…The GainRatio [82] represents a modified version of InfoGain, which is a non-symmetric measure designed to address the bias of InfoGain. The calculation formula of GainRatio [83] is obtained using Equations ( 10) and (11) as follows:…”
Section: Filter-ranker Methodsmentioning
confidence: 99%
“…The GainRatio [82] represents a modified version of InfoGain, which is a non-symmetric measure designed to address the bias of InfoGain. The calculation formula of GainRatio [83] is obtained using Equations ( 10) and (11) as follows:…”
Section: Filter-ranker Methodsmentioning
confidence: 99%
“…The GainRatio [97] is a modified version of InfoGain, which is a non-symmetric measure designed to address the bias of InfoGain and the formula for calculating GainRatio [98] is as follows:…”
Section: Gainratiomentioning
confidence: 99%
“…where H represents the information entropy. The information gain ratio or GainRatio is the non-symmetrical measure, introduced to compensate for the bias of the InfoGain [103] by reducing it on high-branch attributes. GainRatio should be more significant when data is evenly spread or smaller when all data belong to one branch.…”
Section: Classificationmentioning
confidence: 99%