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Mining personal data using smartphones and wearable devices: a survey.

Muhammad Habib ur Rehman1, Chee Sun Liew2, Teh Ying Wah3

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Smartphones and wearable devices generate vast personal data. This study explores leveraging these devices as personal data mining platforms within a user-centric ecosystem, reviewing literature and future directions.

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Area of Science:

  • Computer Science
  • Data Science
  • Ubiquitous Computing

Background:

  • Rapid increase in smartphone and wearable device adoption.
  • Massive generation of user-specific personal data.
  • Need for effective data mining in pervasive computing environments.

Purpose of the Study:

  • To present a personal ecosystem for data mining.
  • To review existing literature on personal data mining.
  • To identify future research and applications.

Main Methods:

  • Extensive literature review.
  • Development of a detailed taxonomy for personal data mining.
  • Analysis of performance evaluation metrics.

Main Results:

  • Established a framework for a personal ecosystem.
  • Categorized and analyzed existing research.
  • Identified key performance metrics and empirical evidence.

Conclusions:

  • Smartphones and wearables are crucial for personal data mining.
  • The proposed ecosystem facilitates data analysis.
  • Future research should focus on emerging applications and advanced techniques.