Interestingnesslab: A Framework for Developing and Using Objective Interestingness Measures

  • Lan Phuong PhanEmail author
  • Nghia Quoc Phan
  • Ky Minh Nguyen
  • Hung Huu Huynh
  • Hiep Xuan Huynh
  • Fabrice Guillet
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 538)


The objective interestingness measures play an important role in data mining because they are used for mining, filtering and ranking the patterns. However, there is no research that collects the measures fully as well as there is no tool that can: automatically calculate the interestingness values of the patterns by using those measures, and is the framework for rapidly developing the applications related to objective interestingness measures. This paper describes Interestingnesslab - a tool of the objective interestingness measures is developed in the R language. The main functions of the tool are: mining a set of association rules and presenting them by the cardinalities (\(n,n_{X},n_{Y},n_{X\overline{Y}}\)), calculating the interestingness value of an association rule according to 1 of 109 collected measures; calculating the interestingness values of the whole rule set in many measures selected by the user; discovering the tendencies in a data set and recommending the top N items to the user; and studying the specific behavior of a set of interestingness measures in the context of a specific dataset and in an exploratory data analysis perspective. With Interestingnesslab, the user can easily and quickly reuse its functions to develop his/her own applications.


Objective interestingness measure Interestingnesslab Association rule Recommender system 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Lan Phuong Phan
    • 1
    Email author
  • Nghia Quoc Phan
    • 2
  • Ky Minh Nguyen
    • 3
  • Hung Huu Huynh
    • 4
  • Hiep Xuan Huynh
    • 1
  • Fabrice Guillet
    • 5
  1. 1.Can Tho UniversityCan Tho CityVietnam
  2. 2.Tra Vinh UniversityTra Vinh CityVietnam
  3. 3.Can Tho University of TechnologyCan Tho CityVietnam
  4. 4.University of Science and Technology - University of DanangDa Nang CityVietnam
  5. 5.Polytech Nantes, University of NantesNantes Cedex 3France

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