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» On Mining Group Patterns of Mobile Users
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IJMC
2008
102views more  IJMC 2008»
13 years 7 months ago
The characteristics of mobile data service users in Australia
: Mobile Data Services (MDS) are increasingly important as revenues from voice calling are decreasing for mobile carriers, and there are many predictions that the use of MDS will i...
Sangjo Oh, Song Yang, Sherah Kurnia, Heejin Lee, M...
ICDM
2007
IEEE
186views Data Mining» more  ICDM 2007»
14 years 1 months ago
Mining Interpretable Human Strategies: A Case Study
This paper focuses on mining human strategies by observing their actions. Our application domain is an HCI study aimed at discovering general strategies used by software users and...
Xiaoli Z. Fern, Chaitanya Komireddy, Margaret M. B...
ICTAI
2006
IEEE
14 years 1 months ago
On the Relationships between Clustering and Spatial Co-location Pattern Mining
The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include servi...
Yan Huang, Pusheng Zhang
CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 7 months ago
Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies
Design and simulation of future mobile networks will center around human interests and behavior. We propose a design paradigm for mobile networks driven by realistic models of use...
Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas ...
UIC
2009
Springer
14 years 2 months ago
Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model
Social networking has provided powerful new ways to find people, organize groups, and share information. Recently, the potential functionalities of the ubiquitous infrastructure le...
Jun-Ki Min, Su-Hyung Jang, Sung-Bae Cho