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» Unsupervised Outlier Detection in Time Series Data
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MOBIQUITOUS
2005
IEEE
14 years 2 months ago
Correlation Analysis for Alleviating Effects of Inserted Data in Wireless Sensor Networks
This paper introduces a new approach that addresses data contamination problems from attacks in unattended wireless sensor networks. We propose a sliding-window based spatio-tempo...
Sapon Tanachaiwiwat, Ahmed Helmy
JIIS
2002
114views more  JIIS 2002»
13 years 8 months ago
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
Ata Kabán, Mark Girolami
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
13 years 10 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
ISBI
2008
IEEE
14 years 9 months ago
An information-based clustering approach for fMRI activation detection
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
Lijun Bai, Wei Qin, Jimin Liang, Jie Tian
SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
13 years 10 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...