Mining temporal mobile sequential patterns in location-based service environments

Vincent S. Tseng, Hsueh-Chan Lu, Cheng Hsien Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

In recent years, a number of studies have been done on Location-Based Service (LBS) due to the wide applications. One important research issue is the tracking and prediction of users' mobile behavior. In this paper, we propose a novel data mining algorithm named TMSP-Mine for efficiently discovering the Temporal Mobile Sequential Patterns (TMSPs) of users in LBS environments. To our best knowledge, this is the first work on mining the mobile sequential patterns associated with moving paths and time intervals in LBS environments. Furthermore, we propose novel location prediction strategies that utilize the discovered TMSPs to effectively predict the next movement of mobile users. Finally, we conducted a series of experiments to evaluate the performance of the proposed method under different system conditions by varying various parameters.

Original languageEnglish
Title of host publicationThe 13th International Conference on Parallel and Distributed Systems, ICPADS
DOIs
Publication statusPublished - 2007 Dec 1
Event13th International Conference on Parallel and Distributed Systems, ICPADS - Hsinchu, Taiwan
Duration: 2007 Dec 52007 Dec 7

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume1
ISSN (Print)1521-9097

Other

Other13th International Conference on Parallel and Distributed Systems, ICPADS
CountryTaiwan
CityHsinchu
Period07-12-0507-12-07

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture

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