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基于投影模式支持集的数据挖掘算法研究

杨晓波

计算机应用与软件2017,Vol.34Issue(7):273-276,4.
计算机应用与软件2017,Vol.34Issue(7):273-276,4.DOI:10.3969/j.issn.1000-386x.2017.07.050

基于投影模式支持集的数据挖掘算法研究

RESEARCH ON DATA MINING ALGORITHM BASED ON PROJECTION SCHEME SUPPORT SET

杨晓波1

作者信息

  • 1. 浙江财经大学东方学院 浙江 杭州 314408
  • 折叠

摘要

Abstract

In order to improve the efficiency of frequent pattern mining algorithms, a data mining algorithm based on projection pattern support set is proposed.The specific research process is as follows.Firstly, it analyzed the data processing of two types projection pattern support set, then it studied the basic strategy and the realize algorithm of projection mode.Finally, the contrast experiment is applied to verify the feasibility of projection pattern data mining algorithm.The algorithm proposed in this paper is more than 2 times higher than other types of data mining algorithms when the threshold of the support rate is lower than 0.1%, which lays a theoretical foundation for the efficient data mining.

关键词

投影模式/基本策略/算法分析/数据挖掘

Key words

Projection scheme/ Basic strategy/ Algorithm analysis/ Data mining

分类

信息技术与安全科学

引用本文复制引用

杨晓波..基于投影模式支持集的数据挖掘算法研究[J].计算机应用与软件,2017,34(7):273-276,4.

基金项目

浙江财经大学东方学院学科专项课题(2013dfy001). (2013dfy001)

计算机应用与软件

OA北大核心CSTPCD

1000-386X

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