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Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems.

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Title: Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems.
Authors: Barhoush, Malek1, Abed-alguni, Bilal H.1, bilal.h@yu.edu.jo, Al-qudah, Nour Elhuda A.1
Source: Journal of Supercomputing; Dec2023, Vol. 79 Issue 18, p21265-21309, 45p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 173152896
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Dec2023, Vol. 79 Issue 18, p21265-21309, 45p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=173152896
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s11227-023-05444-4
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      – Code: eng
        Text: English
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        PageCount: 45
        StartPage: 21265
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      – TitleFull: Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems.
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            NameFull: Barhoush, Malek
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            NameFull: Abed-alguni, Bilal H.
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            NameFull: Al-qudah, Nour Elhuda A.
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            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
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              Value: 79
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              Value: 18
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            – TitleFull: Journal of Supercomputing
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