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» Detecting Change in Data Streams
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ICDCS
2006
IEEE
14 years 3 months ago
Greedy is Good: On Service Tree Placement for In-Network Stream Processing
This paper is concerned with reducing communication costs when executing distributed user tasks in a sensor network. We take a service-oriented abstraction of sensor networks, whe...
Zoë Abrams, Jie Liu
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
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 9 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
GIS
2008
ACM
14 years 10 months ago
Sharing and exploring sensor streams over geocentric interfaces
We present SenseWeb, an open and scalable infrastructure for sharing and geocentric exploration of sensor data streams. SenseWeb allows sensor owners to share data streams across ...
Liqian Luo, Aman Kansal, Suman Nath, Feng Zhao
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