Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ahmet Tugrul Bayrak"'
Autor:
Ahmet Tugrul Bayrak
Publikováno v:
2022 IEEE International Conference on Data Mining Workshops (ICDMW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::230b3043e9c4b2fe0f86bf84b1cd464a
https://doi.org/10.1109/icdmw58026.2022.00019
https://doi.org/10.1109/icdmw58026.2022.00019
Autor:
Ahmet Tugrul Bayrak
Publikováno v:
2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15ec437dd79e44be072ac2736ff8c77d
https://doi.org/10.1109/ismsit56059.2022.9932760
https://doi.org/10.1109/ismsit56059.2022.9932760
Autor:
Ahmet Tugrul Bayrak, Sultan Ceren Oner, Mustafa Gencer, Onur Sahil Cerit, Anil Oymagil, Dogan Dalva
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5b1145495ffbd06bfd3ac4a3e6507dc
https://doi.org/10.1109/siu55565.2022.9864671
https://doi.org/10.1109/siu55565.2022.9864671
Autor:
Ahmet Tugrul Bayrak, Guven Yuceturk, Musa Berat Bahadir, Sare Melek Yalcinkaya, Melike Demirdag, Ismail Utku Sayan
Publikováno v:
2022 IEEE International Conference on Big Data and Smart Computing (BigComp).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::767a521b0395f2f1e120e61e802bbf34
https://doi.org/10.1109/bigcomp54360.2022.00050
https://doi.org/10.1109/bigcomp54360.2022.00050
Autor:
Okan Tunali, Ahmet Tugrul Bayrak
Publikováno v:
2021 6th International Conference on Computer Science and Engineering (UBMK).
In today’s business world, where competition is increasing with the increase in product and service diversity, companies are in search of smart methods to bring the right products to their customers. Product bundle generation, in which products tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab5c6614c9286a5db59844f568ee1257
https://doi.org/10.1109/ubmk52708.2021.9558997
https://doi.org/10.1109/ubmk52708.2021.9558997
Publikováno v:
GECCO Companion
[EN] Product bundling is a strategy conducted by marketing decisionmakers to combine items or services for targeted sales in today¿s competitive business environment. Targeted sales can be in various forms, like increasing the likelihood of a purcha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cccbb3334727d994f6d3083eb7897b3
https://doi.org/10.1145/3449726.3463219
https://doi.org/10.1145/3449726.3463219
Publikováno v:
SIU
In a world where competition and technology usage increase consistently, customer satisfaction has become important for companies. In this study, the customer reviews, obtained from the results of the surveys that are made via different channels, are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64b24063e4fc1714d819de7356d7318e
https://doi.org/10.1109/siu53274.2021.9478016
https://doi.org/10.1109/siu53274.2021.9478016
Publikováno v:
2021 2nd International Conference on Computing and Data Science (CDS).
Machine learning-driven studies to get potent insights about customers are essential for the business world to grow as they achieve smarter in marketing and sales activities. Finding the consociate patterns of customer interaction activities leads to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ff308b8ee7659c91e7ed7d806a76587
https://doi.org/10.1109/cds52072.2021.00097
https://doi.org/10.1109/cds52072.2021.00097
Autor:
Ahmet Tugrul Bayrak, Okan Tunali
Publikováno v:
2021 2nd International Conference on Computing and Data Science (CDS).
Transactional data analysis and association rule learning have become prominent requirements for effective decision making in marketing operations. Considering that, we propose an optimized near-real-time item associations generation mechanism combin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::608a54e5ab16d8b3a98a840d8b5dfff6
https://doi.org/10.1109/cds52072.2021.00096
https://doi.org/10.1109/cds52072.2021.00096
Publikováno v:
BigComp
In today’s competitive business environment, companies aim to retain their existing customers. To achieve that, churn prediction is crucial. Predicting churning customers is not a simple task. It is even more challenging in the fast-food industry s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95980c35f87ece98f4d1c4faf75a51dd
https://doi.org/10.1109/bigcomp51126.2021.00024
https://doi.org/10.1109/bigcomp51126.2021.00024