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ICDM
2006
IEEE

Mining the Future: Predicting Itemsets' Support of Association Rules Mining

10 years 9 months ago
Mining the Future: Predicting Itemsets' Support of Association Rules Mining
This paper proposes a novel research dimension in the field of data mining, which is mining the future data before its arrival, or in other words: predicting association rules ahead before the arrival of the data. To achieve that, we need only predict the itemsets’ support, upon which association rules could be easily produced. A time series analysis approach (MFTP) is proposed to perform itemsets’ support prediction task. The proposed technique outperforms other prediction techniques for short history. The conducted performance study showed good prediction accuracy and response time. This, we provide a new tool to provide more information in the decision support field.
Shenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Mak
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICDM
Authors Shenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Makky, Alaaeldin M. Hafez
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