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Content Provider | IEEE Xplore Digital Library |
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Author | Tseng, V.S. Lu, R.H.-C. Cheng-Hsien Huang |
Copyright Year | 2007 |
Description | Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan (Tseng, V.S.; Lu, R.H.-C.; Cheng-Hsien Huang) |
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. |
Starting Page | 1 |
Ending Page | 8 |
File Size | 1143271 |
Page Count | 8 |
File Format | |
ISBN | 9781424418893 |
ISSN | 15219097 |
DOI | 10.1109/ICPADS.2007.4447725 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-12-05 |
Publisher Place | Taiwan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Data mining Biological cells Genetic algorithms Mobile handsets Business Mobile computing Computer science Application software Switching systems Accuracy Location-based services Temporal mobile sequential patterns |
Content Type | Text |
Resource Type | Article |
Subject | Hardware and Architecture |
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