The hybrid of association rule algorithms and genetic algorithms for tree induction: an example of predicting the student course performance

The hybrid model of neural networks and genetic algorithms for the design of controls for internet-based systems for business-to-consumer electronic commerce

“…Recently, they applied to, for example, the design of EDI controls (Lee, 2000), the hybrid with association rule algorithms for tree induction in predicting the student course performance (Hsu, Lai, & Chiu, 2003), support of rule induction dealing with both continuous and categorical data types (Chiu & Chiu, 2004), parallel machine-scheduling problem (Chang, Chen, & Lin, 2005), matching information security vulnerabilities to organizational security profiles (Gupta, Rees, Chaturvedi, & Chi, 2006), optimization of the parameters of support vector machine for predicting bankruptcy (Wu, Tzeng, Goo, & Fang, 2007), parallel searching for optimal feature subset (Li, Zhang, & Zeng, 2009), efficient selection and assignment of Material Handling Equipment (Mirhosseyni & Webb, 2009). …”

The Use of Genetic Algorithm, Clustering and Feature Selection Techniques in Construction of Decision Tree Models for Credit Scoring

“…Final decisions are made into nodes, which can be either of discrete or continuous values. Decisions with discrete values are made in a developed classification tree [63].…”

An Association Rule Modeling For a Programme and Activity Recommendation System Supporting Student Counselling Management for Universities in Thailand

“…In this study, to solve the multiclass-classification problem, the AR tool, proposed by Agrawal et al [15], was an important tool in data mining that aimed to extract a model to find the relevant relationships between the attribute set and class labels [16]. There have been many research reports on the use of AR for classification purposes [15][16][17][18][19][20][21][22][23][24][25][26][27].…”

“…Another study by Soliman and Adly [29] also proposed an algorithm using an AR to find the best subset of rules for all possible ARs to build an efficient classifier. Therefore, many research reports have shown that ARs are an accomplished technique for the classification [24][25][26][27][28][29]. In this study, ARs based on GRI were used to extract the rules for the multiclass-classification problem.…”