This algorithm generates the significant patterns using interval support and determines its correlation. Experiments with the real datasets show that the SLP- ...
This algorithm generates the significant patterns using interval support and determines its correlation. Experiments with the real datasets show that the SLP- ...
This algorithm generates the significant patterns using interval support and determines its correlation. Experiments with the real datasets show that the SLP- ...
Development of least association rules mining algorithms are very challenging in data mining. The complexity and excessive in computational cost are always ...
This paper proposes a new measurement called Critical Relative Support (CRS) to mine critical least association rules from educational context.
A new algorithm named. Significant Least Pattern Growth (SLP-Growth) to extract these ARs is also proposed [20]. The algorithm imposes interval support to ...
An enhanced association rules mining method, called SLP-Growth Significant Least Pattern Growth, is applied for capturing interesting rules from students ...
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The purpose of this study is to apply an enhanced association rules mining method, called SLP-Growth (Significant Least. Pattern Growth) for capturing ...
The purpose of this study is to apply an enhanced association rules mining method, called SLP-Growth Significant Least Pattern Growth for capturing interesting ...
Experiments with the real datasets show that the SLP-Growth can discover highly positive correlated and significant of least ARs. Indeed, it also outperforms ...