Mining user moving patterns for personal data allocation in a mobile computing system

Wen-Chih Peng, Ming Syan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations


In this paper, we devise a new data mining algorithm which involves mining for user moving patterns in a mobile computing environment, and utilize the mining results to develop data allocation schemes so as to improve the overall performance of a mobile system. First, we devise an algorithm to capture the frequent user moving patterns from a set of log data in a mobile environment. Then, in light of mining results of user moving patterns and the properties of data objects, we develop data allocation schemes for proper allocation of personal data. Two personal data allocation schemes, which explore different levels of mining results, are devised: one utilizes the set level of moving patterns and the other utilizes the path level of moving patterns. Performance of these data allocation schemes is comparatively analyzed. It is shown by our simulation results that the user moving patterns is very important in devising effective data allocation schemes which can lead to significant performance improvement in a mobile computing system.

Original languageEnglish
Title of host publicationProceedings - 2000 International Conference on Parallel Processing, ICPP 2000
EditorsDavid J. Lilja
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)0769507689
StatePublished - 1 Jan 2000
EventInternational Conference on Parallel Processing, ICPP 2000 - Toronto, Canada
Duration: 21 Aug 200024 Aug 2000

Publication series

NameProceedings of the International Conference on Parallel Processing
ISSN (Print)0190-3918


ConferenceInternational Conference on Parallel Processing, ICPP 2000


  • Computer architecture
  • Costs
  • Data mining
  • Distributed computing
  • Distributed databases
  • Electronic mail
  • Information systems
  • Mobile communication
  • Mobile computing
  • Wireless communication

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