网吧记录数据可视分析系统SRDVis

doi:10.11871/jfdc.issn.2096-742X.2021.04.006

数据与计算发展前沿 ›› 2021, Vol. 3 ›› Issue (4): 70-80.

doi: 10.11871/jfdc.issn.2096-742X.2021.04.006

• 可视化与可视分析专题 • 上一篇下一篇

网吧记录数据可视分析系统SRDVis

赵凡^1,^3,^*(),马小东^1,^2,³(),任芃锟^1,^2,³()

1.中国科学院新疆理化技术研究所,新疆乌鲁木齐 830011
2.中国科学院大学,北京 100049
3.新疆民族语音语言信息处理研究室,新疆乌鲁木齐 830011

收稿日期:2021-06-10 出版日期:2021-08-20 发布日期:2021-08-30
通讯作者: 赵凡
作者简介:赵凡,中国科学院新疆理化技术研究所,研究员,硕士生导师,中国图象图形学学会可视化与可视分析专业委员会常务委员。主要从事计算机应用技术方面的研究开发工作,研究领域为大数据分析及可视化方向,目前重点研究数据可视分析方法在社会民生、智慧城市、公共安全等领域的应用。
本文承担工作为：SRDVis系统架构研究及实现。
ZHAO Fan is a professor of the Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, the master's supervisor, and a standing committee member of the Visualization and Visual Analysis Professional Committee of the Chinese Society of Image and Graphics. He is mainly engaged in the research and development of computer application tech-nology, and his research interests include big data analysis and visualization. At present, he focuses on the application of data visualization analysis methods in the fields of social people's livelihood, smart cities, and public safety.
In this paper, he is responsible for the research on the archite-cture of the SRDVis and the system implementation.
E-mail: zhaofan@ms.xjb.ac.cn|马小东,中国科学院新疆理化技术研究所,中国科学院大学,硕士研究生,主要研究方向为数据分析及可视化。
本文承担工作为：研究现状的调研及数据处理。
MA Xiaodong is a master's student in the Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences. His research interests include data analysis and visualization.
In this paper, he is responsible for the research review and data processing.
E-mail: maxiaodong19@mails.ucas.ac.cn|任芃锟,中国科学院新疆理化技术研究所,中国科学院大学,硕士研究生,主要研究方向为数据可视化、故事叙事。
本文承担工作为：系统实现案例设计与分析。
REN Pengkun, is a master's student of Xinjiang Technical In-stitute of Physics and Chemistry, Chinese Academy of Scien-ces, University of Chinese Academy of Sciences. His research interests include data visualization and visual data storytelling.
In this paper, he is mainly responsible for the design and anal-ysis of system realization cases.
E-mail: renpengkun20@mails.ucas.ac.cn
基金资助:
国家重点研发计划(2018YFC0825300)

SRDVis: A Visual Analysis System for Record Data of Internet Cafe

ZHAO Fan^1,^3,^*(),MA Xiaodong^1,^2,³(),REN Pengkun^1,^2,³()

1. Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi, Xinjiang 830011, China

Received:2021-06-10 Online:2021-08-20 Published:2021-08-30
Contact: ZHAO Fan

摘要/Abstract

摘要：

【目的】为了从记录用户个体行为的时空数据中挖掘用户特征,构建行为模型,发现共现群体,本文以公开的网吧记录数据为基础,设计并实现了一个可视分析系统SRDVis。【方法】本文基于该类时空数据的固有属性和特征,通过对原始数据的处理、统计及分析,结合可视化设计、要素关联、人机交互等方法与技术,研发完成了可满足本领域数据分析任务的可视化系统。【结果】针对网吧用户行为记录数据特点,本文设计了多种可视化视图,可从不同视角展示数据特征,满足了业务监管人员对本领域数据的管理及分析需求。【结论】SRDVis系统通过2个基于真实业务场景案例的分析,验证了分析方法的有效性和系统的可用性,可以实现对此类时空数据的可视分析需求,系统具有一定的扩展性,能够在多种业务领域中得到应用。

关键词: 时空数据, 可视分析, 网吧记录, 共现群体

Abstract:

[Objective] In order to mine user characteristics, build behavioral models, and discover co-occurring groups from the spatio-temporal data of individual user behaviors, we design and implement a visual analysis system SRDVis based on the public internet cafe record data. [Methods] On the basis of the inherent attributes and characteristics of this type of data, we have developed a visualization system that can meet the requirements of data analysis tasks in this field through processing, statistics and analysis of the raw data, combined with methods and technologies such as visualization design, element correlation, and human-computer interaction. [Results] Aiming at the characteristics of user behavior record data in internet cafes, we design various visualization views that can display data characteristics from different perspectives. These views meet the needs of business supervisors for the management and analysis of data in this field. [Conclusions] We have verified the effectiveness of the analysis method and the system usability through two case studies based on real business scenarios. This system can realize visual analysis of such spatio-temporal data. In addition, the system also has a certain degree of scalability and can be used in a variety of business areas.

Key words: spatio-temporal data, visual analysis, records of internet cafe, co-occurrence groups

赵凡,马小东,任芃锟. 网吧记录数据可视分析系统SRDVis[J]. 数据与计算发展前沿, 2021, 3(4): 70-80.

ZHAO Fan,MA Xiaodong,REN Pengkun. SRDVis: A Visual Analysis System for Record Data of Internet Cafe[J]. Frontiers of Data and Computing, 2021, 3(4): 70-80.

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SRDVis: A Visual Analysis System for Record Data of Internet Cafe

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