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» A Wireless Data Stream Mining Model
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149
Voted
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
13 years 9 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
SECON
2008
IEEE
15 years 8 months ago
Enhancing the Data Collection Rate of Tree-Based Aggregation in Wireless Sensor Networks
— What is the fastest rate at which we can collect a stream of aggregated data from a set of wireless sensors organized as a tree? We explore a hierarchy of techniques using real...
Özlem Durmaz Incel, Bhaskar Krishnamachari
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...
IPMU
2010
Springer
15 years 5 months ago
Short-Time Prediction Based on Recognition of Fuzzy Time Series Patterns
This article proposes knowledge-based short-time prediction methods for multivariate streaming time series, relying on the early recognition of local patterns. A parametric, well-i...
Gernot Herbst, Steffen F. Bocklisch
133
Voted
RTSS
2006
IEEE
15 years 8 months ago
Voice over Sensor Networks
Wireless sensor networks have traditionally focused on low duty-cycle applications where sensor data are reported periodically in the order of seconds or even longer. This is due ...
Rahul Mangharam, Anthony Rowe, Raj Rajkumar, Ryohe...