Abstract
It has been almost 20 years since Internet services became an integral part of our lives. Especially recent popularization of SNS (Social Network Services) such as Facebook, more and more people are attracted to Internet. Internet provides many benefits to people, but yields a consequent disturbing phenomenon of obsession with Internet, which is called PIU (Pathological Internet Use) or IAD (Internet Addiction Disorder) in academia. PIU or IAD has negative effects on people’s health of mind and body, therefore, it is necessary to detect PIU. Among tools of surfing Internet, since computer is the most widely interactive media, it is significant to mine PIU emerging patterns from human-computer interaction events. As a result, an emerging pattern mining method based on interactive event generators, called PIU-Miner, is proposed in this paper. Experimental results show that PIU-Miner is an efficient and effective approach to discovering PIU.
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Yu, Y., Yan, K., Zhu, X., Wang, G., Luo, D., Sood, S. (2014). Mining Emerging Patterns of PIU from Computer-Mediated Interaction Events. In: Cao, L., Zeng, Y., Symeonidis, A., Gorodetsky, V., Müller, J., Yu, P. (eds) Agents and Data Mining Interaction. ADMI 2013. Lecture Notes in Computer Science(), vol 8316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55192-5_6
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DOI: https://doi.org/10.1007/978-3-642-55192-5_6
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