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» Unsupervised Outlier Detection in Time Series Data
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WISA
2007
Springer
14 years 2 months ago
Detecting Motifs in System Call Sequences
The search for patterns or motifs in data represents an area of key interest to many researchers. In this paper we present the Motif Tracking Algorithm, a novel immune inspired pat...
William O. Wilson, Jan Feyereisl, Uwe Aickelin
KDD
2004
ACM
198views Data Mining» more  KDD 2004»
14 years 1 months ago
Mining traffic data from probe-car system for travel time prediction
We are developing a technique to predict travel time of a vehicle for an objective road section, based on real time traffic data collected through a probe-car system. In the area ...
Takayuki Nakata, Jun-ichi Takeuchi
ICDM
2010
IEEE
99views Data Mining» more  ICDM 2010»
13 years 6 months ago
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...
Jimeng Sun, Daby Sow, Jianying Hu, Shahram Ebadoll...
SAC
2009
ACM
14 years 3 months ago
Adaptive burst detection in a stream engine
Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operat...
Marcel Karnstedt, Daniel Klan, Christian Pöli...
TMI
2010
165views more  TMI 2010»
13 years 6 months ago
Spatio-Temporal Data Fusion for 3D+T Image Reconstruction in Cerebral Angiography
—This paper provides a framework for generating high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences have the potential to ...
Andrew Copeland, Rami Mangoubi, Mukund N. Desai, S...