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MOBISYS
2009
ACM
14 years 11 months ago
A methodology for extracting temporal properties from sensor network data streams
The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications ...
Dimitrios Lymberopoulos, Athanasios Bamis, Andreas...
ICDM
2007
IEEE
158views Data Mining» more  ICDM 2007»
14 years 5 months ago
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice
Recent years have witnessed an increasing number of studies in stream mining, which aim at building an accurate model for continuously arriving data. Somehow most existing work ma...
Jing Gao, Wei Fan, Jiawei Han
PAAPP
2008
76views more  PAAPP 2008»
13 years 10 months ago
Group-aware stream filtering for bandwidth-efficient data dissemination
In this paper 1 we are concerned with disseminating high-volume data streams to many simultaneous applications over a low-bandwidth wireless mesh network. For bandwidth efficiency...
Ming Li, David Kotz
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
14 years 2 months ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders
BIOSURVEILLANCE
2007
Springer
14 years 4 months ago
A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data
Abstract. This paper reviews the results of a study into combining evidence from multiple streams of surveillance data in order to improve timeliness and specificity of detection ...
Josep Roure, Artur Dubrawski, Jeff Schneider