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WOA
2010
13 years 2 months ago
Classification of Whereabouts Patterns From Large-scale Mobility Data
Classification of users' whereabouts patterns is important for many emerging ubiquitous computing applications. Latent Dirichlet Allocation (LDA) is a powerful mechanism to e...
Laura Ferrari, Marco Mamei
ICDM
2010
IEEE
121views Data Mining» more  ICDM 2010»
13 years 2 months ago
Recommending Social Events from Mobile Phone Location Data
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one de...
Daniele Quercia, Neal Lathia, Francesco Calabrese,...
ICDM
2009
IEEE
151views Data Mining» more  ICDM 2009»
13 years 2 months ago
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol...
CHI
2007
ACM
14 years 5 months ago
Over-exposed?: privacy patterns and considerations in online and mobile photo sharing
As sharing personal media online becomes easier and widely spread, new privacy concerns emerge ? especially when the persistent nature of the media and associated context reveals ...
Shane Ahern, Dean Eckles, Nathaniel Good, Simon Ki...
SAC
2009
ACM
13 years 11 months ago
Visual detection of novel terrain via two-class classification
Remote sensing of terrain characteristics is an important component for autonomous operation of mobile robots in natural terrain. Often this involves classification of terrain int...
Christopher A. Brooks, Karl Iagnemma