Frontiers of Data and Domputing ›› 2021, Vol. 3 ›› Issue (4): 70-80.doi: 10.11871/jfdc.issn.2096-742X.2021.04.006

• Special Issue: Visualization and Visual Analysis • Previous Articles     Next Articles

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

ZHAO Fan1,3,*(),MA Xiaodong1,2,3(),REN Pengkun1,2,3()   

  1. 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;;


[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