Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Na Helian"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Customer churn remains a critical challenge in telecommunications, necessitating effective churn prediction (CP) methodologies. This paper introduces the Enhanced Gradient Boosting Model (EGBM), which uses a Support Vector Machine with a Rad
Externí odkaz:
https://doaj.org/article/f7613da56284433f9745de4b1116d31d
Publikováno v:
Mathematics, Vol 10, Iss 7, p 1031 (2022)
The telecommunications industry is greatly concerned about customer churn due to dissatisfaction with service. This industry has started investing in the development of machine learning (ML) models for churn prediction to extract, examine and visuali
Externí odkaz:
https://doaj.org/article/7ec6756907f046539b4abd8d7b86d3e5
Publikováno v:
Pattern Recognition. 137:109314
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6491757227ce722ff9fd1f0fec222f3e
https://doi.org/10.1016/j.patcog.2023.109314
https://doi.org/10.1016/j.patcog.2023.109314
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e5c55568214c596d758ab01a2d0b87f
https://doi.org/10.1109/ijcnn55064.2022.9892883
https://doi.org/10.1109/ijcnn55064.2022.9892883
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031024610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c34a27000788a3b181a598134438403a
https://doi.org/10.1007/978-3-031-02462-7_20
https://doi.org/10.1007/978-3-031-02462-7_20
Publikováno v:
SN Computer Science. 2
Making class balance is essential when learning from highly skewed datasets; otherwise, a learner may classify all instances to a negative class, resulting in a high false-negative rate. As a result, a precise balancing strategy is required. Many res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9abf3ba2c106ed3aa88d73cd532d251
https://doi.org/10.1007/s42979-021-00850-y
https://doi.org/10.1007/s42979-021-00850-y
Publikováno v:
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference ISBN: 9783030487904
EANN
EANN
Clustering is an established unsupervised learning method. Substantial research has been carried out in the area of feature weighting, as well instance selection for clustering. Some work has paid attention to instance weighted clustering algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65050d2317be8bcc1804cfc6a1915eba
https://doi.org/10.1007/978-3-030-48791-1_34
https://doi.org/10.1007/978-3-030-48791-1_34
Publikováno v:
BICA
© 2018 The Author(s). Published by Elsevier B. V. This is an open access article under the CC BY-NC-ND license https://creativecommons.org/licenses/by-nc-nd/4.0/
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbeca49f928562993f7d07044fa0ca42
https://doi.org/10.1016/j.procs.2018.01.015
https://doi.org/10.1016/j.procs.2018.01.015
Publikováno v:
BICA
Recently, different algorithms have been suggested to improve Sample Entropy (SE) performance. Although new methods for calculating SE have been proposed, so far improving the efficiency (computational time) of SE calculation methods has not been con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae6cf117e1221d0d1fa88539ef3cf989
https://doi.org/10.1016/j.procs.2018.11.016
https://doi.org/10.1016/j.procs.2018.11.016
Publikováno v:
BICA
Heart Rate Variability (HRV) is the measurement sequence with one or more visible variables of an underlying dynamic system, whose state changes with time. In practice, it is difficult to know what variables determine the actual dynamic system. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e5c0a9588ff19b5cead5bc6bd48c409
https://doi.org/10.1016/j.procs.2018.11.015
https://doi.org/10.1016/j.procs.2018.11.015