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» Mining data streams: a review
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ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
13 years 6 months ago
Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams
The problem of finding outliers in data has broad applications in areas as diverse as data cleaning, fraud detection, network monitoring, invasive species monitoring, etc. While th...
Vit Niennattrakul, Eamonn J. Keogh, Chotirat Ann R...
ICDM
2008
IEEE
179views Data Mining» more  ICDM 2008»
14 years 3 months ago
Detection and Exploration of Outlier Regions in Sensor Data Streams
Sensor networks play an important role in applications concerned with environmental monitoring, disaster management, and policy making. Effective and flexible techniques are need...
Conny Franke, Michael Gertz
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
14 years 3 months ago
Online Reliability Estimates for Individual Predictions in Data Streams
Several predictive systems are nowadays vital for operations and decision support. The quality of these systems is most of the time defined by their average accuracy which has lo...
Pedro Pereira Rodrigues, João Gama, Zoran B...
EDBT
2008
ACM
138views Database» more  EDBT 2008»
14 years 9 months ago
Mine your own business, mine others' news!
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...
Boualem Benatallah, Guillaume Raschia, Noureddine ...
BIOSURVEILLANCE
2007
Springer
14 years 3 months ago
A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data
Abstract. This paper reviews the results of a study into combining evidence from multiple streams of surveillance data in order to improve timeliness and specificity of detection ...
Josep Roure, Artur Dubrawski, Jeff Schneider