Title :
Toward the enhancement of the getRNIA system for rough-set based data analysis
Author :
Mao Wu ; Yamaguchi, Naoto ; Chenxi Liu ; Sakai, Hiroshi
Author_Institution :
Dept. of Appl. Sci. for Integrated Syst. Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
Abstract :
The getRNIA is a software tool for the rough-set based framework RNIA (Rough Non-deterministic Information Analysis), which can handle tables with uncertain data, especially non-deterministic data. This paper considers new functionalities in the getRNIA system for enhancing its ability. The first is the parallelization of the NIS-Apriori algorithm, and the second is the introduction of a new descriptor with disjunctive values, which we name Or-descriptor. The final is the estimation of the actual values in tables with uncertain data.
Keywords :
data analysis; information analysis; rough set theory; software tools; NIS-Apriori algorithm; getRNIA system; nondeterministic data; rough nondeterministic information analysis; rough-set based data analysis; software tool; Data mining; Information analysis; Information systems; Program processors; Rough sets; Software algorithms; Sparks;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
DOI :
10.1109/SCIS-ISIS.2014.7044887
