Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Shih-Wen Ke"'
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
ABSTRACTEnterprise Instant Messaging (EIM) has become an increasingly important tool for enterprises to operate efficiently and for the employees to communicate smoothly, especially with the recent outbreak of the pandemic. This means that employers
Externí odkaz:
https://doaj.org/article/8652cc15f0fb49d9a66c44d4ba9f9e82
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0161501 (2017)
Breast cancer is an all too common disease in women, making how to effectively predict it an active research problem. A number of statistical and machine learning techniques have been employed to develop various breast cancer prediction models. Among
Externí odkaz:
https://doaj.org/article/a53c1cc0fff9462582da9d104ce3b95d
Publikováno v:
Technology and Health Care. :1-13
BACKGROUND: In practice, the collected datasets for data analysis are usually incomplete as some data contain missing attribute values. Many related works focus on constructing specific models to produce estimations to replace the missing values, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed633c3451cc4fa9749337563d1befee
https://doi.org/10.3233/thc-220514
https://doi.org/10.3233/thc-220514
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21039bb9d22531718b086c03f3b7c5cf
https://doi.org/10.1080/0952813x.2023.2165715
https://doi.org/10.1080/0952813x.2023.2165715
Publikováno v:
Online Information Review, 2016, Vol. 40, Issue 4, pp. 472-480.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/OIR-08-2015-0249
Publikováno v:
The Electronic Library, 2015, Vol. 33, Issue 3, pp. 373-385.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EL-08-2013-0148
Autor:
Shih-Wen Ke, Wei-Liang Chen
Publikováno v:
2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17897d424a44ecc42159f64ddd3f96d4
https://doi.org/10.1109/ieem50564.2021.9673021
https://doi.org/10.1109/ieem50564.2021.9673021
Publikováno v:
International Journal of Data Warehousing and Mining. 13:53-63
In practice, the dataset collected from data mining usually contains some missing values. It is common practice to perform case deletion by ignoring those data with missing values if the missing rate is certainly small. The aim of this paper is to an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22269f3d8f3f50675c1c8ab71b2d63d0
https://doi.org/10.4018/ijdwm.2017100104
https://doi.org/10.4018/ijdwm.2017100104
Publikováno v:
Kybernetes. 46:1158-1170
Purpose Data mining is widely considered necessary in many business applications for effective decision-making. The importance of business data mining is reflected by the existence of numerous surveys in the literature focusing on the investigation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f59e02235fde0adb68a1c234ef2b95b6
https://doi.org/10.1108/k-10-2016-0302
https://doi.org/10.1108/k-10-2016-0302
Autor:
Shih-Wen Ke, Chi-Wei Yeh
Publikováno v:
IEEM
Previous studies proposed different hierarchical estimation approaches for solving certain specific domain problems. They usually combine two or more estimation models in a hierarchical fashion. Therefore, in our previous work [2], we proposed a hier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3c249d8a9e8070fef9feda29cb3cd5d
https://doi.org/10.1109/ieem44572.2019.8978843
https://doi.org/10.1109/ieem44572.2019.8978843