A Multistrategy Conceptual Analysis of Economic Data

  • Kenneth A. Kaufman
  • Ryszard S. Michalski


The goal of the multistrategy tool, INLEN, is to serve as an intelligent assistant for discovering knowledge in large databases. INLEN has been applied to, and is well-suited for the exploration of databases consisting of economic and demographic facts and statistics. Preliminary experiments on several data sets have focused on discerning and comparing various patterns in the status and development of countries in different regions of the world. These experiments have provided some interesting and often unexpected results, and serve as an example of one way in which such data can be explored. This paper describes in brief the INLEN methodology, presents examples of its learning and discovery operators, and demonstrates its application to economic domains.


Labor Force Participation Population Growth Rate Compare International Development Economic Data Economic Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Kluwer Academic Publishers 1996

Authors and Affiliations

  • Kenneth A. Kaufman
    • 1
  • Ryszard S. Michalski
    • 2
  1. 1.Machine Learning and Inference LaboratoryGeorge Mason UniversityFairfaxUSA
  2. 2.GMU Departments of Computer Science and Systems Engineering and the Institute of Computer SciencePolish Academy of SciencesPoland

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