Aug 15, 2017 · In this research we propose predictability-based collective class association rule mining based on cross-validation with a new rule evaluation ...
In this research we propose predictability-based collective class association rule mining based on cross-validation with a new rule evaluation step. We measure ...
Oct 22, 2024 · In this research we propose predictability-based collective class association rule mining based on cross-validation with a new rule evaluation ...
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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of ...
Nov 17, 2020 · In this paper, a new AC algorithm is proposed to directly discover a compact number of efficient rules for classification without the pruning process.
Jan 29, 2016 · Association rule mining tells us if there are any relationships in our data. Consider a simplistic example where one sees that bread and butter ...
CPAR generates a smaller set of rules, with higher quality and lower redundancy in comparison with asso- ciative classification. As a result, CPAR is much more.
The integration is done by focusing on mining a special subset of association rules, called class association rules (CARs). An efficient algorithm is also given ...
This algorithm can almost has an accurate prediction due to generate the rules based on a final classifier. In addition, frequent association rules with high ...
Abstract. In this paper we study the predictive ability of some asso- ciation rule measures typically used to assess descriptive interest. Such.