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ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
13 years 11 months ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao
FSKD
2005
Springer
267views Fuzzy Logic» more  FSKD 2005»
14 years 1 months ago
Preventing Meaningless Stock Time Series Pattern Discovery by Changing Perceptually Important Point Detection
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
Tak-Chung Fu, Fu-Lai Chung, Robert W. P. Luk, Chak...
BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
Testing for mean and correlation changes in microarray experiments: an application for pathway analysis
Background: Microarray experiments examine the change in transcript levels of tens of thousands of genes simultaneously. To derive meaningful data, biologists investigate the resp...
Mayer Alvo, Zhongzhu Liu, Andrew Williams, Carole ...
MVA
1990
170views Computer Vision» more  MVA 1990»
13 years 8 months ago
Automatic Fire Detection by Changing Region Analysis Based on Geographic Information
This paper proposes a new method for automatic fire detection in cities using image processing techniques. Images are obtained successively at regular intervals from monochrome TV...
Hideo Numagami, Akio Okazaki
ICCV
1998
IEEE
14 years 9 months ago
Thresholding for Change Detection
Image differencing is used for many applications involving change detection. Although it is usually followed by a thresholding operation to isolate regions of change there are few...
Paul L. Rosin