A Survey on Association Rule Mining

被引：29
|
作者：
Solanki, Surbhi K. [1 ]
Patel, Jalpa T. [2 ]
机构：
[1] Shri Sad Vidya Mandal Inst Technol, Dept Informat Technol, Bharuch, India
[2] Shri Sad Vidya Mandal Inst Technol, Dept Comp Sci & Informat Technol, Bharuch, India
来源：
2015 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION TECHNOLOGIES ACCT 2015 | 2015年
关键词：
Data Mining; Association Rule Mining; Apriori; FP-tree; Fuzzy FP-tree;
D O I：
10.1109/ACCT.2015.69
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Task of extracting useful and interesting knowledge from large data is called data mining. It has many aspects like clustering, classification, association mining, outlier detection, regression etc. Among them association rule mining is one of the important aspect for data mining. Best example of association rule mining is market-basket analysis. Applications of association rule mining are stock analysis, web log mining, medical diagnosis, customer market analysis bioinformatics etc. In past, many algorithms were developed by researchers for Boolean and Fuzzy association rule mining such as Apriori, FP-tree, Fuzzy FP-tree etc. we are discussing them in detail in later section of this paper.
引用
收藏
页码：212 / 216
页数：5
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