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MOBISYS
2009
ACM
16 years 7 months ago
BlueMonarch: a system for evaluating bluetooth applications in the wild
Despite Bluetooth's popularity, low cost, and low power requirements, Bluetooth applications remain remarkably unsophisticated. Although the research community and industry h...
Timothy J. Smith, Stefan Saroiu, Alec Wolman
MOBISYS
2009
ACM
16 years 7 months ago
A framework of energy efficient mobile sensing for automatic user state recognition
Urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location-based se...
Yi Wang, Jialiu Lin, Murali Annavaram, Quinn Jacob...
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 7 months ago
Efficient computation of personal aggregate queries on blogs
There is an exploding amount of user-generated content on the Web due to the emergence of "Web 2.0" services, such as Blogger, MySpace, Flickr, and del.icio.us. The part...
Ka Cheung Sia, Junghoo Cho, Yun Chi, Belle L. Tsen...
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
16 years 7 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 7 months ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
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