Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Network Traffic Classification techniques and comparative analysis using Machine Learning algorithms
A survey of techniques for internet traffic classification using machine learning
Internet Traffic Classification by Aggregating Correlated Naive Bayes Predictions
A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers
A Survey of Payload-Based Traffic Classification Approaches
Bayesian Neural Networks for Internet Traffic Classification
Internet traffic classification using bayesian analysis techniques
A Dynamic Online Traffic Classification Methodology Based on Data Stream Mining
Exploiting packet-sampling measurements for traffic characterization and classification
traffic classification : packet - , flow - , and application - based approaches .
Comparison of classification techniques applied for network intrusion detection and classification
An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection
A novel semi-supervised approach for network traffic clustering
An Architecture Proposal for Network Traffic Monitoring with IoT Traffic Classification Support
Applying deep learning approaches for network traffic prediction
Packet Classification Algorithms: From Theory to Practice
A Survey of Methods for Encrypted Traffic Classification andAnalysis
Application identification via network traffic classification
An effective similarity metric for application traffic classification
Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks
Study on network traffic prediction techniques
One millisecond face alignment with an ensemble of regression trees
genetic algorithms in search optimization and machine learning .
the in fl uence of social media interactions on consumer – brand relationships : a three - country study of brand perceptions and marketing behaviors .
Big data in psychology: Using word embeddings to study theory-of-mind
Crime Analysis Using K-Means Clustering