Abstract
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. Among tools of surfing Internet, computer is one of the most widely interactive medias. Therefore, it is significant to detect users PIU Behaviors(PIU-B) from human-computer interaction events. Emerging patterns(EPs) mining and application have becoming a major direction of contrast mining due to the ability of simplifying problems and classifying accurately. Further, generators are the shortest forms of EPs. In this light, two PIU-B detecting approaches, i.e., Gen-based (Generator-based)and EP-based(Emerging Pattern-based) algorithms, are proposed respectively in this paper. Extensive experimental results show that both two methods are efficient and effective for detecting users PIU behaviors.
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Yu, Y., Yan, K., Zhu, X., Wang, G. (2014). Detecting of PIU Behaviors Based on Discovered Generators and Emerging Patterns from Computer-Mediated Interaction Events. In: Li, F., Li, G., Hwang, Sw., Yao, B., Zhang, Z. (eds) Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science, vol 8485. Springer, Cham. https://doi.org/10.1007/978-3-319-08010-9_31
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DOI: https://doi.org/10.1007/978-3-319-08010-9_31
Publisher Name: Springer, Cham
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