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A Text Mining Approach Agent-Based DSS for IT Infrastructure Maintenance

A Text Mining Approach Agent-Based DSS for IT Infrastructure Maintenance

Sidhamed Elandaloussi, Pascale Zarate, Noria Taghezout
Copyright: © 2021 |Volume: 13 |Issue: 3 |Pages: 21
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781799860549|DOI: 10.4018/IJDSST.2021070105
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MLA

Elandaloussi, Sidhamed, et al. "A Text Mining Approach Agent-Based DSS for IT Infrastructure Maintenance." IJDSST vol.13, no.3 2021: pp.1-21. http://doi.org/10.4018/IJDSST.2021070105

APA

Elandaloussi, S., Zarate, P., & Taghezout, N. (2021). A Text Mining Approach Agent-Based DSS for IT Infrastructure Maintenance. International Journal of Decision Support System Technology (IJDSST), 13(3), 1-21. http://doi.org/10.4018/IJDSST.2021070105

Chicago

Elandaloussi, Sidhamed, Pascale Zarate, and Noria Taghezout. "A Text Mining Approach Agent-Based DSS for IT Infrastructure Maintenance," International Journal of Decision Support System Technology (IJDSST) 13, no.3: 1-21. http://doi.org/10.4018/IJDSST.2021070105

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Abstract

Information technology (IT) infrastructure refers to the combined set of network, software, hardware, applications, and all the information technology-related equipment for an enterprise IT environment. In addition, it provides the entire skeleton for an organization to continue delivering several services to its internal members (employees) and external ones (customers/partners). The interruption of services leads to a significant deterioration of the infrastructure, and at the same time, it slows down their functioning. Additionally, it can result in important loss of user trust. Therefore, we need to proactively help the technician teams to assess the quality and availability of their IT infrastructure. This study may help to build an approach for an IT infrastructure called MAITD-2 in order to classify, analyze, and take problems to closure in a short time face to a multi-criteria decision-making problem.