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» Learning from sensor network data
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VLDB
2007
ACM
122views Database» more  VLDB 2007»
16 years 3 months ago
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh
ML
2008
ACM
150views Machine Learning» more  ML 2008»
15 years 3 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
MOBICOM
2006
ACM
15 years 9 months ago
Localized algorithm for aggregate fairness in wireless sensor networks
For data-collection applications in sensor networks, it is important to ensure all data sources have equal (or weighted) access to network bandwidth so that the base stations rece...
Shigang Chen, Zhan Zhang
MDM
2010
Springer
188views Communications» more  MDM 2010»
15 years 1 months ago
A Distributed Technique for Dynamic Operator Placement in Wireless Sensor Networks
—We present an optimal distributed algorithm to adapt the placement of a single operator in high communication cost networks, such as a wireless sensor network. Our parameterfree...
Georgios Chatzimilioudis, Nikos Mamoulis, Dimitrio...
ASUNAM
2009
IEEE
15 years 1 months ago
Automatically Detecting Points of Interest and Social Networks from Tracking Positions of Avatars in a Virtual World
With hundreds of millions of users already today, virtual worlds will become an important factor in tomorrow's media landscape. In a virtual world, users are represented by s...
Frank Kappe, Bilal Zaka, Michael Steurer