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Mozo Velasco, Bonifacio Alberto ORCID: https://orcid.org/0000-0001-9743-8604 and Zhu, Bo
(2014).
A survey of feature selection in Internet traffic characterization.
In: "First International Workshop on Big Data Applications and Principles", 11/09/2014 - 12/09/2014, Madrid, España. ISBN 978-84-15302-94-0. pp. 69-88.
Title: | A survey of feature selection in Internet traffic characterization |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Lecture) |
Event Title: | First International Workshop on Big Data Applications and Principles |
Event Dates: | 11/09/2014 - 12/09/2014 |
Event Location: | Madrid, España |
Title of Book: | First International Workshop on Big Data Applications and Principles : Proceedings |
Date: | September 2014 |
ISBN: | 978-84-15302-94-0 |
Subjects: | |
Freetext Keywords: | Feature selection, Internet traffic characterization, big data |
Faculty: | E.T.S.I. de Sistemas Informáticos (UPM) |
Department: | Sistemas Informáticos |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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In the last decade, the research community has focused on new classification methods that rely on statistical characteristics of Internet traffic, instead of pre-viously popular port-number-based or payload-based methods, which are under even bigger constrictions. Some research works based on statistical characteristics generated large fea-ture sets of Internet traffic; however, nowadays it?s impossible to handle hun-dreds of features in big data scenarios, only leading to unacceptable processing time and misleading classification results due to redundant and correlative data. As a consequence, a feature selection procedure is essential in the process of Internet traffic characterization. In this paper a survey of feature selection methods is presented: feature selection frameworks are introduced, and differ-ent categories of methods are briefly explained and compared; several proposals on feature selection in Internet traffic characterization are shown; finally, future application of feature selection to a concrete project is proposed.
Item ID: | 35325 |
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DC Identifier: | https://oa.upm.es/35325/ |
OAI Identifier: | oai:oa.upm.es:35325 |
Official URL: | http://ict-ontic.eu/bigdap14/bigdap14_PROCEEDINGS.... |
Deposited by: | Memoria Investigacion |
Deposited on: | 18 Mar 2016 20:23 |
Last Modified: | 18 Mar 2016 20:23 |