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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (8): 31-38    DOI: 10.11925/infotech.2096-3467.2017.0511
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Analyzing Private College Students’ Online Lifestyle with Web-logs
Runwen Chen,Yong Qiu(),Wenbin Huang,Jun Wang
Department of Information Management, Peking University, Beijing 100871, China
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[Objective] This study reveals the private colleage students’ typical online life styles based on their usage of a navigational Web portal. [Methods] First, we collected the click and search data of the navigation page specifically designed for students. Then, we modeled the data and applied the K-means cluster algorithm to categorize the student behaviors. [Results] We found six major behaviors among private college students. However, these students mainly use the Web to watch videos, while only a small number of students use the Web to learn. [Limitations] The size and dimensions of the data need to be expanded. [Conclusions] This study identifies typical online life styles of private college students, which could help schools improve their administraion and services.

Key wordsPrivate College      Log Analysis      Cluster Analysis     
Received: 31 May 2017      Published: 26 July 2017

Cite this article:

Runwen Chen,Yong Qiu,Wenbin Huang,Jun Wang. Analyzing Private College Students’ Online Lifestyle with Web-logs. Data Analysis and Knowledge Discovery, 2017, 1(8): 31-38.

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