Mining temporal mobile sequential patterns in location-based service environments

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

研究成果: Conference contribution

18 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題The 13th International Conference on Parallel and Distributed Systems, ICPADS
DOIs
出版狀態Published - 2007
事件13th International Conference on Parallel and Distributed Systems, ICPADS - Hsinchu, Taiwan
持續時間: 2007 12月 52007 12月 7

出版系列

名字Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
1
ISSN(列印)1521-9097

Other

Other13th International Conference on Parallel and Distributed Systems, ICPADS
國家/地區Taiwan
城市Hsinchu
期間07-12-0507-12-07

All Science Journal Classification (ASJC) codes

  • 硬體和架構

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