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Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031341106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::462597b50226c9119bac11c873683a81
https://doi.org/10.1007/978-3-031-34111-3_6
https://doi.org/10.1007/978-3-031-34111-3_6
Autor:
Kerem Gurler, Mustafa Coskun, Safak Karagenc, Gokhan Orun, Burcu Kuleli Pak, Vehbi Cagri Gungor
© 2022 IEEE.Predicting customer interest in items is very crucial in direct marketing as it can potentially boost sales. Data mining techniques are developed to predict which items a particular user might be interested in based on their purchase his
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2faeda4dbf2802c780f781509d7efaa
https://avesis.kayseri.edu.tr/publication/details/b62fc04a-758a-408c-9bbc-6a0688a63869/oai
https://avesis.kayseri.edu.tr/publication/details/b62fc04a-758a-408c-9bbc-6a0688a63869/oai
This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. T