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Significant factors extraction : a combined logistic regression and apriori association rule mining approach

author
statement of authorship
Mahtab Shahin, Markus Burtl, Mohammad Reza Heidari Iman, Tara Ghasempouri,Rahul Sharma, Syed Attique Shah, Dirk Draheim
source
Machine Learning Methods in Systems : proceedings of 13th Computer Science On-line Conference 2024 ; Vol. 4
location of publication
Cham
publisher
year of publication
pages
p. 295-311
series
conference name, date
The 13th Computer Science On-line Conference 2024
conference location
Virtual, Online
url
ISSN
2367-3370
ISBN
978-3-031-70595-3 (e-book)
notes
Bibliogr.: 47 ref
scientific publication
teaduspublikatsioon
TalTech department
language
inglise
Shahin, M., Burtl, M., Heidari Iman, M.R., Ghasempouri, T., Sharma, R., Shah, S.A., Draheim, D. Significant factors extraction : a combined logistic regression and apriori association rule mining approach // Machine Learning Methods in Systems : proceedings of 13th Computer Science On-line Conference 2024 ; Vol. 4. Cham : Springer, 2024. p. 295-311. (Lecture Notes in Networks and Systems ; 1126). https://link.springer.com/book/9783031705946 https://doi.org/10.1007/978-3-031-70595-3_30