Publication | Closed Access
SAMPLES
81
Citations
22
References
2015
Year
Unknown Venue
Internet Traffic AnalysisEngineeringMachine LearningSelf Adaptive MiningCorpus LinguisticsText MiningNatural Language ProcessingInformation RetrievalData ScienceData MiningComputational LinguisticsNetwork TrafficKnowledge DiscoveryPresent SamplesMobile ComputingComputer ScienceInformation FlowData Stream MiningBusinessBotnet DetectionNetwork Traffic Measurement
We present SAMPLES: Self Adaptive Mining of Persistent LExical Snippets; a systematic framework for classifying network traffic generated by mobile applications. SAMPLES constructs conjunctive rules, in an automated fashion, through a supervised methodology over a set of labeled flows (the training set).
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