Research of Data-Aiming Mining Algorithm in Cloud Environment

被引：1
|
作者：
Jin, Jiangang [1 ]
机构：
[1] North China Univ Water Resources & Elect Power, Software Technol Vocat Coll, Zhengzhou 450045, Peoples R China
来源：
INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING | 2016年 / 9卷 / 04期
关键词：
Cloud computing; Data mining; Apriori algorithm;
D O I：
10.14257/ijgdc.2016.9.4.08
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Cloud computing contains a huge amount of data, which are featured as being widely distributed, heterogeneous, and dynamic. Thus, aiming at how to mine useful parts in these information, this paper proposes an Apriori algorithm based on cloud computing and introduces cost-sensitive learning and non-filter matrix to find k frequency set and uses the method of generating association rules to improve effectiveness of data mining. Simulation experiments show that mining algorithm in this paper is highly effective and suitable for data mining in the context of cloud computing.
引用
收藏
页码：87 / 94
页数：8
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