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» Distance Functions to Detect Changes in Data Streams
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PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
14 years 8 months ago
Detecting Events in a Million New York Times Articles
We present a demonstration of a newly developed text stream event detection method on over a million articles from the New York Times corpus. The event detection is designed to ope...
Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, ...
ICNP
2003
IEEE
15 years 3 months ago
The Temporal and Topological Characteristics of BGP Path Changes
BGP has been deployed in Internet for more than a decade. However, the events that cause BGP topological changes are not well understood. Although large traces of routing updates ...
Di-Fa Chang, Ramesh Govindan, John S. Heidemann
BMCBI
2010
118views more  BMCBI 2010»
14 years 10 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 ...
SBIA
1995
Springer
15 years 1 months ago
Modeling the Influence of Non-Changing Quantities
ion Framework for Compositional Modeling 36 Diane Chi and Yumi Iwasaki Model Decomposition and Simulation 45 Daniel J. Clancy and Benjamin Kuipers A Distance Measure for Attention ...
Bert Bredeweg, Kees de Koning, Cis Schut
SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
15 years 7 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert