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Advances in Rough and Soft Clustering: Meta-Clustering, Dynamic Clustering, Data-Stream Clustering Read chapter Read first chapter

2016 | OriginalPaper | Chapter

On NIS-Apriori Based Data Mining in SQL

Authors : Hiroshi Sakai, Chenxi Liu, Xiaoxin Zhu, Michinori Nakata

Published in: Rough Sets

Publisher: Springer International Publishing

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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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previous chapter Multi-objective Search for Comprehensible Rule Ensembles
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Metadata
Title
On NIS-Apriori Based Data Mining in SQL
Authors
Hiroshi Sakai
Chenxi Liu
Xiaoxin Zhu
Michinori Nakata
Copyright Year
2016
Book
Rough Sets

Print ISBN: 978-3-319-47159-4

Electronic ISBN: 978-3-319-47160-0

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-47160-0_47

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