A prototype system for rule generation in Lipski's incomplete information databases

Authors:
Hiroshi Sakai;Michinori Nakata;Dominik Ślęzak
Affiliations:
Mathematical Sciences Section, Department of Basic Sciences, Faculty of Engineering, Kyushu Institute of Technology, Tobata, Kitakyushu, Japan;Faculty of Management and Information Science, Josai International University, Togane, Chiba, Japan;Institute of Mathematics, University of Warsaw, Warsaw, Poland and Infobright Inc., Poland, Warsaw, Poland
Venue:
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Year:
2011

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Abstract

This paper advances rule generation in Lipski's incomplete information databases, and develops a software tool for rule generation. We focus on three kinds of information incompleteness. The first is non-deterministic information, the second is missing values, and the third is intervals. For intervals, we introduce the concept of a resolution. Three kinds of information incompleteness are uniformly handled by NIS-Apriori algorithm. An overview of a prototype system in Prolog is presented.