Fakulteta za informacijske študije v Novem mestu (FIS)
  • Early Warning System Framework Proposal, Based on Big Data Environment [Elektronski vir]
    Klepac, Goran, informacijska znanost ; Kopal, Robert ; Mršić, Leo
    Early warning systems are made with the purpose to efficiently recognize deviant and potentially dangerous trends related to company business as early as possible. The Big Data environment gives new ... opportunities and new approaches in analytical processes. There are numerous ways how to set up early warning systems within a company. The Big Data environment forces companies to apply new ways of thinking and use new disposable data sources. This article gives a novel concept for an early warning system design within a company, which is applicable in different industries. The core of the proposed framework is a hybrid fuzzy expert system which can contain a variety of data mining predictive models responsible for some specific areas as addition to traditional rule blocks. It can also include social network analysis metrics based on linguistic variables and incorporated within the rule blocks. As a part of this framework, SNA methods are also explained and introduced as powerful and unique tool to be used in modern early warning systems.
    Vir: International journal of artificial intelligence and machine learning [Elektronski vir]. - ISSN 2642-1585 (Vol. 9, iss. 1, 2019, str. 35-66)
    Vrsta gradiva - e-članek
    Leto - 2019
    Jezik - angleški
    COBISS.SI-ID - 73196291
    DOI

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