dc.contributor.author | Paulauskas, Nerijus | |
dc.contributor.author | Auškalnis, Juozas | |
dc.date.accessioned | 2023-09-18T16:54:09Z | |
dc.date.available | 2023-09-18T16:54:09Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/117963 | |
dc.description.abstract | Data pre-processing for machine learning methods is key step for knowledge discovery process. Depending on nature of the data, pre-processing might take the majority time of data analysis. Correctly prepared data for processing guarantees precise and reliable results of data analysis. This paper analyses initial data pre-processing influence to attack detection accuracy by using Decision Trees, Naïve Bayes and Rule-Based classifiers with NSL-KDD dataset. In addition, the results of detected attacks accuracy dependency by selecting different attacks grouping options and using ensembles of various classifiers are presented. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-5 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Conference Proceedings Citation Index - Science (Web of Science) | |
dc.relation.isreferencedby | IEEE Xplore | |
dc.source.uri | http://ieeexplore.ieee.org/document/7950325/ | |
dc.subject | IK01 - Informacinės technologijos, ontologinės ir telematikos sistemos / Information technologies, ontological and telematic systems | |
dc.title | Analysis of data pre-processing influence on intrusion detection using NSL-KDD dataset | |
dc.type | Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB | |
dcterms.references | 13 | |
dc.type.pubtype | P1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | Pre-processing | |
dc.subject.en | Data mining | |
dc.subject.en | Classifiers | |
dc.subject.en | Intrusion detection | |
dcterms.sourcetitle | 2017 Open conference of Electrical, Electronic and Information Sciences (eStream) : proceedings of the conference, April 27, 2017, Vilnius, Lithuania / Organized by: Vilnius Gediminas technical university | |
dc.publisher.name | IEEE | |
dc.publisher.city | New York | |
dc.identifier.doi | 000414282800024 | |
dc.identifier.doi | 10.1109/eStream.2017.7950325 | |
dc.identifier.elaba | 23276062 | |