Ubiquitous Computing and Communication Journal
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Abstract
Title: Classification Based on Association-Rule Mining Techniques: A General Survey and Empirical Comparative Evaluation
Authors: Mr. “Alaa Al Deen” Nofal, Dr. Sulieman Bani-Ahmad
Abstract:
In this paper classification and association rule mining algorithms are discussed and demonstrated. Particularly, the problem of association rule mining, and the investigation and comparison of popular association rules algorithms. The classic problem of classification in data mining will be also discussed. The paper also considers the use of association rule mining in classification approach in which a recently proposed algorithm is demonstrated for this purpose. Finally, a comprehensive experimental study against 13 UCI data sets is presented to evaluate and compare traditional and association rule based classification techniques with regards to classification accuracy, number of derived rules, rules features and processing time.