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» Efficient mining of group patterns from user movement data
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DKE
2006
110views more  DKE 2006»
13 years 4 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
DEXA
2003
Springer
115views Database» more  DEXA 2003»
13 years 10 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
DMIN
2008
158views Data Mining» more  DMIN 2008»
13 years 6 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
ESWA
2006
139views more  ESWA 2006»
13 years 4 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»
13 years 7 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