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An Ensemble Classifier with Case-Based Reasoning System for Identifying Internet Addiction.

Wen-Huai Hsieh1, Dong-Her Shih2, Po-Yuan Shih3

  • 1Department of Information Management, National Chung Cheng University; Director of Chang-Hua Hospital, Chang-Hua County 51341, Taiwan. dire@chhw.mohw.gov.tw.

International Journal of Environmental Research and Public Health
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Summary
This summary is machine-generated.

This study introduces EMBAR, an ensemble classifier with case-based reasoning, to detect Internet addiction. EMBAR monitors users, offering improved performance over other methods for early intervention.

Keywords:
case-based reasoningensemble classifierinternet addictionmachine learning

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Area of Science:

  • Computer Science
  • Psychology
  • Human-Computer Interaction

Background:

  • Dramatic increase in global internet usage over recent decades.
  • Significant rise in negative consequences associated with internet use.
  • Growing concern regarding internet addiction, characterized by excessive and life-disrupting usage patterns.

Purpose of the Study:

  • To propose a novel system for the early detection of internet addiction.
  • To develop a method for monitoring internet usage and identifying problematic behavior.
  • To provide a tool for early intervention and disengagement from addictive internet use.

Main Methods:

  • Development of a secure Web service-based system named EMBAR (ensemble classifier with case-based reasoning).
  • Implementation of background monitoring for user internet activity.
  • Utilizing an ensemble classifier combined with case-based reasoning (CBR) for detection.

Main Results:

  • Empirical results indicate superior performance of the proposed EMBAR system.
  • The ensemble classifier with CBR demonstrated higher accuracy in identifying potential internet addiction compared to other classifiers.
  • The system is suitable for future internet usage monitoring applications.

Conclusions:

  • The EMBAR system effectively identifies users with potential internet addiction.
  • The proposed ensemble classifier with case-based reasoning offers a promising approach for early detection and intervention.
  • EMBAR can serve as a valuable tool for future internet usage monitoring.