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SupportingEnvironmentalInformationSystemsandServicesRealizationwiththeGeoSpatialandStreamingDimensionsoftheSemanticWeb
From: VideoLectures on Sun, Oct 31 2010 11:51 AM
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TowardAutonomicGridsAnalyzingtheJobFlowwithAffinityStreaming
From: VideoLectures on Wed, Oct 13 2010 5:40 PM
The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a dataset, albeit with quadratic computational complexity. This paper, motivated by Autonomic Computing, extends AP to the data streaming framework. Firstly ...
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IssuesinEvaluationofStreamLearningAlgorithms
From: VideoLectures on Wed, Oct 13 2010 5:18 PM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that continuously evolve over time, run in resource-aware environments, detect and react to changes in the environment gene...
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IntegratingNovelClassDetectionwithClassificationforConceptDriftingDataStreams
From: VideoLectures on Tue, Oct 12 2010 4:18 PM
In a typical data stream classification task, it is assumed that the total number of classes are fixed. This assumption may not be valid in a real streaming environment, where new classes may evolve. Traditional data stream classification techniques are not capable of recognizing novel class ins...
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Parallelstreamingdecisiontrees
From: VideoLectures on Tue, Oct 12 2010 3:55 PM
A new algorithm for building decision tree classifiers is proposed. The algorithm is executed in a distributed environment and is especially designed for classifying large datasets and streaming data. It is empirically shown to be as accurate as standard decision tree classifiers, while being sc...
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AdaptiveXMLTreeClassificationonEvolvingDataStreams
From: VideoLectures on Tue, Oct 12 2010 2:27 PM
We propose a new method to classify patterns, using closed and maximal frequent patterns as features. Generally, classification requires a previous mapping from the patterns to classify to vectors of features, and frequent patterns have been used as features in the past. Closed patterns maintain...
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