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企业日志数据的交互式可视分析方法研究

樊晓博 张慧军 张小龙

计算机工程与应用2019,Vol.55Issue(23):248-256,9.
计算机工程与应用2019,Vol.55Issue(23):248-256,9.DOI:10.3778/j.issn.1002-8331.1808-0390

企业日志数据的交互式可视分析方法研究

Research on Interactive Visual Analysis Method of Enterprise Log Data

樊晓博 1张慧军 1张小龙1

作者信息

  • 1. 太原理工大学 信息与计算机学院,山西 晋中 030600
  • 折叠

摘要

Abstract

Enterprise log data, includes employee web access logs, mail logs, which is the record kept by the system when employees use the network service inside the enterprise. To a certain extent, these logs reflect the internal organiza-tional structure, the daily working patterns of employees, and various abnormal situations. The analysis of the log data helps the company's senior management to control the operation of the enterprise in a timely manner, and discover potential threats of the enterprise, thereby helping to make better decisions. Most of the existing enterprise log analysis methods use algorithms such as data mining and machine learning to analyze on a single data basis. This paper argues that:combining data-centric analysis algorithms with human-centered interactive visualizations can simultaneously exploit the advantages of algorithms and humans, visual analysis method can more effectively combine multi-source heterogeneous, time-varying, multi-dimensional log data analysis to provide multi-angle analysis. To this end, this paper proposes a visualization method which designs and implements a visual analysis system for employee work behavior for enterprise log data EWB-VIS. Experiments are conducted on the public dataset provided by the ChinaVis2018 Challenge to demon-strate the availability of the system and the effectiveness of the relevant visualization methods.

关键词

聚类算法/可视分析/交互设计/企业日志数据

Key words

clustering algorithm/visual analysis/interaction design/enterprise log data

分类

信息技术与安全科学

引用本文复制引用

樊晓博,张慧军,张小龙..企业日志数据的交互式可视分析方法研究[J].计算机工程与应用,2019,55(23):248-256,9.

基金项目

国家自然科学基金(No.61572344). (No.61572344)

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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