信息安全研究 ›› 2022, Vol. 8 ›› Issue (12): 1187-.

• 学术论文 • 上一篇    下一篇

一种可交叉的带时间约束的互异最小情节计数方法

李威1吴志刚2李健俊1陆海龙1   

  1. 1(浙江中烟工业有限责任公司杭州310001)
    2(杭州世平信息科技有限公司杭州310012)
  • 出版日期:2022-12-03 发布日期:2022-12-01
  • 通讯作者: 李威 硕士,高级工程师.主要研究方向为计算机网络与安全、数据安全、工控安全. lwei@zjtobacco.com
  • 作者简介:李威 硕士,高级工程师.主要研究方向为计算机网络与安全、数据安全、工控安全. lwei@zjtobacco.com 吴志刚 硕士.主要研究方向为网络安全、数据安全. wuzg@shipinginfo.com 李健俊 硕士,高级工程师.主要研究方向为计算机网络与安全、工控安全. lijj@zjtobacco.com 陆海龙 高级工程师.主要研究方向为信息化项目管理. luhl@zjtobacco.com

A Cross-over Method for Counting Mutually Distinct Minimum  Episodes with Time Constraints

  1. 1(China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310001)
    2(Hangzhou Shiping Information & Technology Co., Ltd., Hangzhou 310012)
  • Online:2022-12-03 Published:2022-12-01

摘要: 情节挖掘中通常存在长串序列数据不易进行分割的现象,针对现有情节挖掘算法中未考虑时间约束、情节交叉发生以及存在重复计数等问题,提出一种可交叉的带时间约束的互异最小情节计数方法.综合考虑情节发生的时间跨度问题、信号事件的互异性以及情节的可交叉性,通过ONCETDM情节计数算法实现了单遍扫描序列数据,完成情节发生的精准计数.

关键词:

Abstract: In the episode mining, it is usually difficult to segment long sequence data.Aiming at the problems that time constraints, cross occurrence of episodes, and repeated counting are not considered in the existing episode mining algorithms. We propose a crossover method for counting mutually distinct minimum episodes with time constraints which considers the time span of the occurrence of the episode, the heterogeneity of signal events and the cross ability of the episode. By using the ONCETDM episode counting algorithm, we can scan the sequence data in a single pass and complete the accurate counting of the occurrence of the episode.


Key words: episode mining, time constraints, minimum occurrence, sequence data, episode counting