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SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
15 years 9 months ago
Event queries on correlated probabilistic streams
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Christopher Ré, Dan Suciu, Julie Letchner, ...
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
15 years 9 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi
MOBISYS
2008
ACM
15 years 9 months ago
Behavioral detection of malware on mobile handsets
A novel behavioral detection framework is proposed to detect mobile worms, viruses and Trojans, instead of the signature-based solutions currently available for use in mobile devi...
Abhijit Bose, Xin Hu, Kang G. Shin, Taejoon Park
MOBISYS
2004
ACM
15 years 9 months ago
Implementing Software on Resource-Constrained Mobile Sensors: Experiences with Impala and ZebraNet
ZebraNet is a mobile, wireless sensor network in which nodes move throughout an environment working to gather and process information about their surroundings [10]. As in many sen...
Ting Liu, Christopher M. Sadler, Pei Zhang, Margar...
ICCAD
2006
IEEE
103views Hardware» more  ICCAD 2006»
15 years 6 months ago
A statistical framework for post-silicon tuning through body bias clustering
Adaptive body biasing (ABB) is a powerful technique that allows post-silicon tuning of individual manufactured dies such that each die optimally meets the delay and power constrai...
Sarvesh H. Kulkarni, Dennis Sylvester, David Blaau...