Application of Rough Set-Based Information Analysis to Questionnaire Data
Naoto Yamaguchi, Mao Liang Wu, Michinori Nakata, Hiroshi Sakai · Journal of Advanced Computational Intelligence and Intelligent Informatics · 2014
This article reports an application ofRough Nondeterministic Information Analysis (RNIA)to two data sets. One is the Mushroom data set in the UCI machine leaning repository, and the other is a student questionnaire data set. Even though these data sets include many missing values, we obtained some interesting rules by using ourgetRNIAsoftware tool. This software is powered by theNIS-Apriorialgorithm, and we apply rule generation and question-answering functionalities to data sets with nondeterministic values.