Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Susan E. Bedingfield"'
Publikováno v:
Knowledge and Information Systems. 62:2419-2437
Various imputation approaches have been proposed to address the issue of missing values in data mining and machine learning applications. To improve the accuracy of missing data imputation, this paper proposes a new method called DIFC by integrating
Publikováno v:
Algorithms, Vol 14, Iss 219, p 219 (2021)
Algorithms
Volume 14
Issue 8
Algorithms
Volume 14
Issue 8
The increasing demand for work-ready students has heightened the need for universities to provide work integrated learning programs to enhance and reinforce students’ learning experiences. Students benefit most when placements meet their academic r
Publikováno v:
International Journal of Infectious Diseases, Vol 103, Iss, Pp 194-200 (2021)
Background: In rural areas of Indonesia, where parasitological tests are not always available, a knowledge of significant symptoms and non-symptom-related factors is crucial for clinical diagnosis of malaria in order to take appropriate actions for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::711737d82a01763a23e151227f208e82
https://doi.org/10.21203/rs.2.23268/v1
https://doi.org/10.21203/rs.2.23268/v1
Publikováno v:
Sustainable Cities and Society. 40:611-624
With rising electricity prices, there is a need to give consumers greater control over their energy consumption. It is anticipated that such informed consumers in control of their consumption patterns will contribute to reduced energy usage and thus
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811366604
AusDM
AusDM
An effective missing data imputation method is essential for data mining and knowledge discovery from a comprehensive database with missing values. This paper proposes a new hybrid imputation method to effectively deal with the missing data issue of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55dc3e28618858edb4b0ab384370eb95
https://doi.org/10.1007/978-981-13-6661-1_11
https://doi.org/10.1007/978-981-13-6661-1_11
Publikováno v:
Australasian Journal of Information Systems, Vol 22, Iss 0 (2018)
An introduction to the section.
Publikováno v:
Australasian Journal of Information Systems, Vol 22, Iss 0 (2018)
Social media provides people from all socio-economic sectors with the opportunity to voice their opinions. Platforms such as Twitter provide the means to share one’s opinion with little effort and cost. But do these media empower everyday people to
Publikováno v:
FUZZ-IEEE
This paper proposes a new iterative fuzzy clustering (IFC) algorithm to impute missing values of datasets. The information provided by fuzzy clustering is used to update the imputed values through iterations. The performance of the IFC algorithm is e
Autor:
Ken Coghill, Ron Borland, David Young, Chung-Hsing Yeh, Susan E. Bedingfield, Jian Ying Zhang, Sonja Yrjo Olavi Petrovic-Lazarevic
Publikováno v:
Expert Systems with Applications. 38:6430-6438
Research highlights? FCN is useful framework for causal discovery and decision support in tobacco control systems. ? FCN is a better tool to analyze non-liner data, compared with the traditional statistical techniques, such as liner and logistics reg
Publikováno v:
HICSS
This paper develops a novel approach to selecting the best supplier for meeting a specific customer order with regard to the benefits, opportunities, costs and risks (BOCR) dimensions. The impact of the customer order attributes on the BOCR dimension