A rough set based expert system for diagnosing information system communication networks

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Main Author: Africa, Aaron Don M.
Format: text
Published: Animo Repository 2017
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/10707
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-12929
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-129292023-08-25T02:12:03Z A rough set based expert system for diagnosing information system communication networks Africa, Aaron Don M. 2017-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/10707 Faculty Research Work Animo Repository Rough sets Expert systems (Computer science) Information technology Information resources management
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Rough sets
Expert systems (Computer science)
Information technology
Information resources management
spellingShingle Rough sets
Expert systems (Computer science)
Information technology
Information resources management
Africa, Aaron Don M.
A rough set based expert system for diagnosing information system communication networks
format text
author Africa, Aaron Don M.
author_facet Africa, Aaron Don M.
author_sort Africa, Aaron Don M.
title A rough set based expert system for diagnosing information system communication networks
title_short A rough set based expert system for diagnosing information system communication networks
title_full A rough set based expert system for diagnosing information system communication networks
title_fullStr A rough set based expert system for diagnosing information system communication networks
title_full_unstemmed A rough set based expert system for diagnosing information system communication networks
title_sort rough set based expert system for diagnosing information system communication networks
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/faculty_research/10707
_version_ 1778174294906372096