Life log management based on machine learning technique

Keum Sung Hwang, Sung Bae Cho

Research output: Contribution to conferencePaper

10 Citations (Scopus)

Abstract

Mobile devices have already shown great potential in terms of providing customized services to users because they can record meaningful and private information continually for long periods of time, so the research for understanding and managing the life log of human has received increasing attention in recent years. In this paper, we propose a novel method for life log management based on the machine learning, which summarizes and manages the experiences of human. The method uses an effective probabilistic network model for analyzing various kinds of log data in mobile environments, which were modularized to decrease complexity. We also propose a mobile life browser, which visualizes and searches human's mobile life based on the contents and context of personal information. The mobile life browser is for searching the personal information effectively collected on his/her mobile device and for supporting the concept-based searching method by using concept networks and Bayesian networks.

Original languageEnglish
Pages691-696
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI - Seoul, Korea, Republic of
Duration: 2008 Aug 202008 Aug 22

Other

Other2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI
CountryKorea, Republic of
CitySeoul
Period08/8/2008/8/22

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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    Hwang, K. S., & Cho, S. B. (2008). Life log management based on machine learning technique. 691-696. Paper presented at 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI, Seoul, Korea, Republic of. https://doi.org/10.1109/MFI.2008.4648026