Norhaidah Abu Haris

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This paper described on Data Mining methods that could be applied by higher education institution to predict the possible areas on student enrollment. The understanding of prediction methods is important to find which methods could give better and more accurate result with informative knowledge for management to make decisions.
This study is focusing on measurement of defect density found during the testing phase which is currently conducted in organization X in Malaysia. The issue with defect density is the measurement tends to be imprecise because of the various ways used to count the line of codes. Organization X use Measurement and Analysis Process to calculate the measurement(More)
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