Using Data Mining Technology to Explore Internet Addiction Behavioral Patterns

碩士 === 國立彰化師範大學 === 資訊管理學系所 === 102 === The purpose of this study, through needs theory and affective to explore the Internet user by engaging in activities to get psychological satisfaction the emotions and performance, and to explore the sense of dependence on the Internet in these Internet usage...

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Bibliographic Details
Main Author: 鄭至均
Other Authors: 黃木榮
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/03436487841421445882
Description
Summary:碩士 === 國立彰化師範大學 === 資訊管理學系所 === 102 === The purpose of this study, through needs theory and affective to explore the Internet user by engaging in activities to get psychological satisfaction the emotions and performance, and to explore the sense of dependence on the Internet in these Internet usage behavior. From the previous literature and the study found that most studies begin with testing hypotheses to explore, and comparatively few studies have incorporated these four to study. In this study, use data mining to find needs theory, affective ambivalence, Internet use behavior between Internet addiction of association rules. In this study, the use of Internet and paper questionnaires distributed, the online questionnaire on the BBS, Facebook social network and forum; paper questionnaires to convenience sampling way of questionnaires issued, a total of 565 questionnaires were recovered, 502 valid questionnaires, questionnaires efficiency is about 88%. From the affective ambivalence rules found in the use of different behavior and different age arising out of the emotional state will be different, arising out of acts of personal expression and creativity are also different. In addition, needs theory in addition to a variety of acts different needs, but also shows that when a user is in low-level requirements are met, it will move towards higher-order needs.