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» Detecting Changes in Unlabeled Data Streams Using Martingale
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SSDBM
2006
IEEE
133views Database» more  SSDBM 2006»
14 years 1 months ago
An Extensible Infrastructure for Processing Distributed Geospatial Data Streams
Although the processing of data streams has been the focus of many research efforts in several areas, the case of remotely sensed streams in scientific contexts has received less...
Carlos Rueda, Michael Gertz, Bertram Ludäsche...
SAC
2005
ACM
14 years 1 months ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
13 years 9 months ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
14 years 1 months ago
An SVM Framework for Genre-Independent Scene Change Detection
We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content from a diverse range of genres by allowing sets o...
Naveen Goela, Kevin W. Wilson, Feng Niu, Ajay Diva...
EDBT
2009
ACM
166views Database» more  EDBT 2009»
14 years 8 days ago
Neighbor-based pattern detection for windows over streaming data
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward