Discovering mobile users' moving behaviors in wireless networks

被引：3

作者：

Huang, Cheng-Ming ^{[2
]}

Hong, Tzung-Pei ^{[1
]}

Horng, Shi-Jinn ^{[3
,4
]}

机构：

[1] Natl Univ Kaohsiung, Dept Comp Sci & Informat Engn, Kaohsiung 811, Taiwan

[2] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei 106, Taiwan

[3] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei 106, Taiwan

[4] Natl United Univ, Dept Elect Engn, Miaoli 360, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 08期

关键词：

Data mining; Personal mobility pattern; Location area; Home location register; LOCATION MANAGEMENT; PATTERNS;

D O I：

10.1016/j.eswa.2008.03.015

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Wireless networks and mobile applications have grown very rapidly and have made a significant impact on computer systems. Especially, the usage of mobile phones and PDA is increased very rapidly. Added functions and values with these devices are thus greatly developed. If some regularity can be known from the user mobility behavior, then these functions and values can be further expanded and used intelligently. This paper thus attempts to discover personal mobility patterns for helping systems provide personalized service in a wireless network. The classification and the duration of each location area visited by a mobile user are used as important attributes in representing the results. A data mining algorithm has then been proposed, which is based on the AprioriAll algorithm, but different from it in several ways. Experiments are also made to show the effect of the proposed algorithm. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：10809 / 10814

页数：6

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