A new approach to classification based on association rule mining

A New Strategy for Case-Based Reasoning Retrieval Using Classification Based on Association

“…Other techniques for mining CARs have been suggested in recent years. They include GARC [5], ECR-CARM [6], CBC [7], CAR-Miner [8], CHISC-AC [9] and developed d2O [10]. The methods of classification based on CARs were demonstrated to be more accurate than the classic methods e.g.…”

Analysis and Design of a Human Resources Performance Measurement System for the Nutmeg Oil Agro-industry in Aceh

“…Researchers have extensively analyzed association rules because it can uncover relationships between attributes of a data set in various applications (Garcia et al, 2008;Koksal et al, 2001;Zhou and Yau, 2007;Zubcoff and Trujillo, 2007;Yang and Wu 2006;Chen et al, 2006), including performance measurement (Srivihok and Mongkolsripattana, 2008;Ostroff, 2006;Huang et al, 2011).…”

The Compact Fuzzy Association Rules For Data Classification

“…-Chen and Zhang (5) proposed an algorithm called GARC (Gain Based Association Rule Classification) with a efficacy in classifying data used the model is a compact. Because of the GARC was using the information gain threshold to create frequent item-sets and then it used redundant and conflictive techniques to build the class association rules.…”

“…The CBA has been tested its predictive performance by comparing with the C4.5, and it turns out that has high accuracy than C4.5 algorithm. This CBA has drawn attention from many researches to develop algorithm based on associative classification technique, such as GARC (5) algorithm, OAC (6) algorithm, and many more. However, the inherent problem of associative classification is that the association process can handle only symbolic and binary values.…”