Classification of objective interestingness measures


  • Lan Phuong Phan Can Tho University
  • Nghia Quoc Phan Tra Vinh University image/svg+xml
  • Vinh Cong Phan Trường ĐH Nguyễn Tất Thành image/svg+xml
  • Hung Huu Huynh University of Danang
  • Hiep Xuan Huynh Can Tho University
  • Fabrice Guillet University of Nantes image/svg+xml



objective interestingness measures, classification, property/criterion of interestingness measures, association rules


The creation of the interestingness measures for evaluating the quality of the association rule - based knowledge plays an important role in the post-processing of the Knowledge Discovery from Databases. More and more interestingness measures are proposed by two approaches (subjective assessment and objective assessment), studying the properties or the attributes of the interestingness measures is important in understanding the nature of the objective interestingness measures. In this paper, we focus primarily on the objective interestingness measures to obtain a general view of recent researches on the nature of the objective interestingness measures, as well as complete a new classification on 109 selected objective interestingness measures on 6 criterions (independence, equilibrium, symmetry, variation, description, and statistics).




How to Cite

Phuong Phan L, Quoc Phan N, Cong Phan V, Huu Huynh H, Xuan Huynh H, Guillet F. Classification of objective interestingness measures. EAI Endorsed Trans Context Aware Syst App [Internet]. 2016 Sep. 12 [cited 2024 Apr. 20];3(10):e4. Available from:

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