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» Efficient mining of group patterns from user movement data
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77
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DKE
2006
110views more  DKE 2006»
14 years 10 months ago
Efficient mining of group patterns from user movement data
In this paper, we present a new approach to derive groupings of mobile users based on their movement data. We assume that the user movement data are collected by logging location ...
Yida Wang, Ee-Peng Lim, San-Yih Hwang
74
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DEXA
2003
Springer
115views Database» more  DEXA 2003»
15 years 3 months ago
On Mining Group Patterns of Mobile Users
In this paper, we present a group pattern mining approach to derive the grouping information of mobile device users based on the spatio-temporal distances among them. Group pattern...
Yida Wang, Ee-Peng Lim, San-Yih Hwang
91
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DMIN
2008
158views Data Mining» more  DMIN 2008»
14 years 11 months ago
Mining User Movement Behavior Patterns in a Mobile Service Environment
Abstract - The rapid advances of wireless and web technologies enable the mobile users to request various kinds of services via mobile devices at anytime and anywhere. To provide t...
Yen-Ssu Chou, Tzung-Shi Chen
101
Voted
ESWA
2006
139views more  ESWA 2006»
14 years 10 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
ADMA
2009
Springer
105views Data Mining» more  ADMA 2009»
15 years 1 months ago
Mining User Position Log for Construction of Personalized Activity Map
Consider a scenario in which a smart phone automatically saves the user’s positional records for personalized location-based applications. The smart phone will infer patterns of ...
Hui Fang, Wen-Jing Hsu, Larry Rudolph