On NIS-Apriori Based Data Mining in SQL

被引：7
|
作者：
Sakai, Hiroshi [1 ]
Liu, Chenxi [1 ]
Zhu, Xiaoxin [2 ]
Nakata, Michinori [3 ]
机构：
[1] Kyushu Inst Technol, Grad Sch Engn, Kitakyushu, Fukuoka 8048550, Japan
[2] Harbin Inst Technol, Grad Sch Engn, Westdazhi St, Harbin, Peoples R China
[3] Josai Int Univ, Fac Management & Informat Sci, Togane, Chiba 2830002, Japan
来源：
ROUGH SETS, (IJCRS 2016) | 2016年 / 9920卷
关键词：
Association rules; NIS-Apriori algorithm; SQL; Prototype; Uncertainty;
D O I：
10.1007/978-3-319-47160-0_47
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：514 / 524
页数：11
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