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Cited by 70Cognitive Computing and NetworksArtificial Intelligence ApplicationsData Mining and Machine Learning Applications

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Cognitive Analytics

Gudivada, V.N., Irfan, M.T., Fathi, E., Rao, D.L.·2016·Handbook of Statistics
DOI 10.1016/bs.host.2016.07.010
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Research works printed but not linked: 34

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Cited by

Sorted by citations

  • Prescriptive analytics: Literature review and research challenges

    Lepenioti, K., Bousdekis, A., Apostolou, D., & Mentzas, G. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.04.003 · Cited by 501

    “…graphical models, and especially Bayesian Networks, have been considered a powerful tool for representing the graphical structure among the random variables in terms of the conditional dependencies (Gudivada, Irfan, Fathi, & Rao, 2016) and thus, they can enhance prescriptive analytics models.”

See all 70

Metadata

Authors
Gudivada, V. N., Irfan, M. T., Fathi, E., & Rao, D. L.
Affiliations
  • East Carolina University (US)
  • Bowdoin College (US)
Corresponding author
Gudivada, V.N.
ORCID
Venue
Handbook of Statistics
Publisher
Elsevier
Published
2016
Pages
169-205
ISSN
0169-7161 (ISSN-L)
DOI
10.1016/bs.host.2016.07.010
OpenAlex
W2524247549
Cited by
70
References
9
Citations by year
2026: 4 · 2025: 6 · 2024: 18 · 2023: 9 · 2022: 7 · 2021: 7 · 2020: 8 · 2019: 7 · 2018: 3 · 2017: 1
FWCI
6.41
Type
book chapter
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
Handbook of statistics (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
Keywords
cognitive analytics, types of learning, machine learning algorithms, reference architecture, future research directions

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