Improvisation in Frequent Pattern Mining Technique

被引:0
作者
Gajera, Sagar [1 ]
Badheka, Manmay [1 ]
机构
[1] LJ Inst Engn & Technol, Ahmadabad, Gujarat, India
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT 2016, VOL 2 | 2017年 / 469卷
关键词
Association rule mining; Frequent pattern mining; Frequent itemset; A priori algorithm;
D O I
10.1007/978-981-10-1678-3_29
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
At present, so many techniques are available which can be applicable to wide range of datasets. They provide an effective way to mine frequent pattern from the datasets. Most of them use different kind s of data structures for the processing which provide variations in requirement of time and space. Generally, traditional techniques are restricted to the narrow area or provide effective results only in the specific environment. So, it requires continuous optimization and updation. Dynamic data structure and mapping shows more effectiveness compared to the traditional techniques in terms of time and space requirement for processing.
引用
收藏
页码:295 / 303
页数:9
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