A Study on Causal Rule Discovery with PC Algorithm

被引：0

作者：

Rama, B. ^{[1
]}

Praveen, P. ^{[1
]}

Sinha, Harshit ^{[2
]}

Choudhury, Tanupriya ^{[2
]}

机构：

[1] Kakatiya Univ, Univ Coll, Dept Comp Sci, Warangal, Telangana, India

[2] Amity Univ, Comp Sci & Engn, Noida, India

来源：

2017 INTERNATIONAL CONFERENCE ON INFOCOM TECHNOLOGIES AND UNMANNED SYSTEMS (TRENDS AND FUTURE DIRECTIONS) (ICTUS) | 2017年

关键词：

Association rule; decision-making; causality; DAG; PC Algorithm; ANCESTRAL GRAPHS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Guarantee of the mining of the data of extricating unforeseen information from unpleasantly huge databases. Ways are created to make link comments since gigantic data sets. These demonstrate the quality of relationship of two or a more data attributes. From numerous points of view, the enthusiasm for association decides is that they give the guarantee (or hallucination) of causative, or at least, prophetic connections. Regardless of whether it is frequently same that any association rules straight out a causative relationship must be inspected. The term causality is assuming on basic part in basic essential by giving a premise to picking what is probably going to head a coveted outcome.

引用

页码：616 / 621

页数：6

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