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Cited by 91Data Mining Algorithms and ApplicationsMulti-Criteria Decision MakingUsability and User Interface Design

Assessing web sites quality: A systematic literature review by text and association rules mining

Rekik, Rim, Kallel, Ilhem, Casillas, Jorge, Alimi, Adel M.·2018·International Journal of Information Management
DOI 10.1016/j.ijinfomgt.2017.06.007
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Crossref · 10.1016/j.ijinfomgt.2017.06.007

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1 of 1 references verified0 citation errors · 0 not checkable

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  • The main change over time in rule-based systems is that originally rules were usually elicited from human experts by a human knowledge engineer, whereas now they are more likely to have been developed using an automated method such as CART or association rule mining.

    “The main change over time is that originally the rules were usually elicited from human experts by a human knowledge engineer, whereas now they are more likely to have been developed using an automated method such as CART (Classification and Regression Trees) (Kao et al., 2017) or association rule mining (Rekik et al., 2018).”

    From Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda (2019) · cites this paper as Rekik et al., 2018

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Authors
Rekik, R., Kallel, I., Casillas, J., & Alimi, A. M.
Affiliations
  • University of Sfax (TN)
  • Universidad de Granada (ES)
Corresponding author
Rekik, Rim
ORCID
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2018-02
Volume
38
Issue
1
Pages
201-216
ISSN
0268-4012 (ISSN-L)
DOI
10.1016/j.ijinfomgt.2017.06.007
OpenAlex
W2765564498
Cited by
91
References
1
Citations by year
2026: 1 · 2025: 5 · 2024: 9 · 2023: 13 · 2022: 12 · 2021: 12 · 2020: 11 · 2019: 20 · 2018: 7 · 2017: 1
FWCI
3.37
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • International Journal of Information Management (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • Erasmus Mundus Al-Idrisi II (2013-2401/001-001-EMA2)
  • Tunisian General Direction of Scientific Research (DGRST)
  • Spanish Ministry of Science and Innovation (TIN2014-57251-P)
Topics
  • Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
Keywords
multi-criteria decision making, association rule mining, Apriori algorithm, text mining, soft computing, website content quality

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