Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ahmet Tezcan Tekin"'
Click prediction boosting via Bayesian hyperparameter optimization-based ensemble learning pipelines
Publikováno v:
Intelligent Systems with Applications, Vol 17, Iss , Pp 200185- (2023)
Online travel agencies (OTA's) advertise their website offers on meta-search bidding engines. The problem of predicting the number of clicks a hotel would receive for a given bid amount is an important step in the management of an OTA's advertisement
Externí odkaz:
https://doaj.org/article/fb5bb08803604a2bac5e3680bdbfadfe
Publikováno v:
Encyclopedia of Data Science and Machine Learning ISBN: 9781799892205
In this study, the last two years' hourly opening and closing prices of the banks' stocks traded on BIST-30 were used as the dataset. The research is aimed to predict the closing prices of these stocks in the light of machine learning. In this contex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f66dc5b51d021542fb8c7c2ace83dc69
https://doi.org/10.4018/978-1-7998-9220-5.ch111
https://doi.org/10.4018/978-1-7998-9220-5.ch111
Publikováno v:
Encyclopedia of Data Science and Machine Learning ISBN: 9781799892205
In today's highly competitive global market, defects in manufacturing cause additional costs and these costs decrease the profit margin. So, defect-free products are crucial for firms. There are various studies conducted with different methodologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06ffbade77cad954c25b266224f49dc6
https://doi.org/10.4018/978-1-7998-9220-5.ch013
https://doi.org/10.4018/978-1-7998-9220-5.ch013
Publikováno v:
Lecture Notes in Management and Industrial Engineering ISBN: 9783031087813
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9624999da25deb51a88b48f68a7a6d7
https://doi.org/10.1007/978-3-031-08782-0_9
https://doi.org/10.1007/978-3-031-08782-0_9
Autor:
Ahmet Tezcan Tekin, Cem Sarı
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031091759
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33b91237f79e87560096912a0cf87b53
https://doi.org/10.1007/978-3-031-09176-6_2
https://doi.org/10.1007/978-3-031-09176-6_2
Autor:
Elmira Farrokhizadeh, Sara Ghazanfari Khameneh, Nilüfer Altinok, Ahmet Tezcan Tekin, Basar Oztaysi, Özgür Kabak, Sezi Çevik Onar, Aslıhan Ceren Tari, Özge Gencer Aydemir, Ersan Öztürk
Publikováno v:
International Series in Operations Research & Management Science ISBN: 9783030918507
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2af9fd72280848b9e3d730ef3c6a9543
https://doi.org/10.1007/978-3-030-91851-4_1
https://doi.org/10.1007/978-3-030-91851-4_1
The book is an important resource to effectively combat these challenges and guide businesses and institutions toward success. Today's world is experiencing a period in which, on the one hand, technical advances, innovations, and changes are developi
Publikováno v:
International Journal of Data Science. 6:257
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f114d9a01e385bd30b23ab4f1275b888
https://doi.org/10.1504/ijds.2021.122770
https://doi.org/10.1504/ijds.2021.122770