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216
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GIS
2008
ACM
16 years 4 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...
102
Voted
WWW
2007
ACM
16 years 4 months ago
A novel collaborative filtering-based framework for personalized services in m-commerce
With the rapid growth of wireless technologies and handheld devices, m-commerce is becoming a promising research area. Personalization is especially important to the success of mc...
Qiudan Li, Chunheng Wang, Guanggang Geng, Ruwei Da...
KDD
2009
ACM
166views Data Mining» more  KDD 2009»
16 years 4 months ago
Measuring the effects of preprocessing decisions and network forces in dynamic network analysis
Social networks have become a major focus of research in recent years, initially directed towards static networks but increasingly, towards dynamic ones. In this paper, we investi...
Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfaha...
108
Voted
KDD
2006
ACM
146views Data Mining» more  KDD 2006»
16 years 3 months ago
Structure and evolution of online social networks
In this paper, we consider the evolution of structure within large online social networks. We present a series of measurements of two such networks, together comprising in excess ...
Ravi Kumar, Jasmine Novak, Andrew Tomkins
WWW
2010
ACM
15 years 10 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow