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基于海量数据的多模式匹配算法研究

何文华

计算机应用与软件2012,Vol.29Issue(4):275-277,296,4.
计算机应用与软件2012,Vol.29Issue(4):275-277,296,4.

基于海量数据的多模式匹配算法研究

ON MASSIVE DATA-BASED MULTI-PATTERN MATCHING ALGORITHM

何文华1

作者信息

  • 1. 广东女子职业技术学院 广东广州511450
  • 折叠

摘要

Abstract

Traditional pattern matching algorithm will significantly reduce its efficiency when dealing with massive data and massive keywords. The construction of keywords status tree makes the completion time of matching algorithm independent from the scale of the keyword,therefore the speed of analysing customer characteristics from text content information has been accelerated one hundred thousand times. The triggering marketing engine developed with this algorithm will launch the marketing activities at right time and on right customers automatically through the corresponding characteristics of customers gaining from feature database and the default marketing motivation strategies.

关键词

海量数据/多模式匹配/算法

Key words

Massive data/Multi-pattern matching/Algorithm

分类

信息技术与安全科学

引用本文复制引用

何文华..基于海量数据的多模式匹配算法研究[J].计算机应用与软件,2012,29(4):275-277,296,4.

计算机应用与软件

OA北大核心CSCDCSTPCD

1000-386X

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