research-article

Visualization and Analysis of Users' Online Behavior in Campus Network

Authors:

Kun Liang,

Jingjing Liu,

Haoyuan PangAuthors Info & Claims

ICNCC '19: Proceedings of the 2019 8th International Conference on Networks, Communication and Computing

Pages 208 - 211

https://doi.org/10.1145/3375998.3376037

Published: 28 January 2020 Publication History

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Abstract

While the network provides convenience for students, it also allows students with poor self-control to get caught up in it. This paper uses the network log of college students' campus network as the data source, analyzes the online behavior log through user preference analysis, cluster analysis and correlation analysis, studies the correlation between academic performance and online behavior, and predicts academic performance, and analyzes the results. Visualize the display. In order to give users a better visual experience, this paper designs a user online behavior analysis system, which can analyze and reason the user's online behavior data, provide a scientific management basis for teachers to standardize and guide students to learn online behavior, and improve the students. Provide support and guidance on learning quality and efficiency.

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Sudar KNagaraj PGanesh MYadav DKumar KMuneeswaran V(2022)Analysis of Seminary Learner Campus Network Behaviour using Machine Learning Techniques2022 7th International Conference on Communication and Electronics Systems (ICCES)10.1109/ICCES54183.2022.9835820(1117-1122)Online publication date: 22-Jun-2022
https://doi.org/10.1109/ICCES54183.2022.9835820
Liang KLiu JZhang Y(2021)The Effects of Non-Directional Online Behavior on Students’ Learning Performance: A User Profile Based Analysis MethodFuture Internet10.3390/fi1308019913:8(199)Online publication date: 31-Jul-2021
https://doi.org/10.3390/fi13080199

Index Terms

Visualization and Analysis of Users' Online Behavior in Campus Network
1. Information systems
  1. World Wide Web
    1. Web mining
      1. Web log analysis

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ICNCC '19: Proceedings of the 2019 8th International Conference on Networks, Communication and Computing

December 2019

263 pages

ISBN:9781450377027

DOI:10.1145/3375998

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 28 January 2020

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National Natural Science Foundation of China

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ICNCC 2019

ICNCC 2019: 2019 The 8th International Conference on Networks, Communication and Computing

December 13 - 15, 2019

Luoyang, China

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Sudar KNagaraj PGanesh MYadav DKumar KMuneeswaran V(2022)Analysis of Seminary Learner Campus Network Behaviour using Machine Learning Techniques2022 7th International Conference on Communication and Electronics Systems (ICCES)10.1109/ICCES54183.2022.9835820(1117-1122)Online publication date: 22-Jun-2022
https://doi.org/10.1109/ICCES54183.2022.9835820
Liang KLiu JZhang Y(2021)The Effects of Non-Directional Online Behavior on Students’ Learning Performance: A User Profile Based Analysis MethodFuture Internet10.3390/fi1308019913:8(199)Online publication date: 31-Jul-2021
https://doi.org/10.3390/fi13080199

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Analyze users' online shopping behavior using interconnected online interest-product network

Online Shopping Preference Analysis of Campus Network Users Based on MapReduce

Analysis on influencing factors of consumers' purchasing behavior online for furniture: a case study on furniture malls and business centers in Harbin

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