Abstract
We have proposed a framework of Rough Non-deterministic Information Analysis (RNIA) for tables with non-deterministic information, and applied RNIA to analyzing tables with uncertainty. We have also developed the RNIA software tool in Prolog and getRNIA in Python, in addition to these two tools we newly consider the RNIA software tool in SQL for handling large size data sets. This paper reports the current state of the prototype named NIS-Apriori in SQL, which will afford us more convenient environment for data analysis.
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CITATION STYLE
Sakai, H., Liu, C., Zhu, X., & Nakata, M. (2016). On NIS-apriori based data mining in SQL. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9920 LNAI, pp. 514–524). Springer Verlag. https://doi.org/10.1007/978-3-319-47160-0_47
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