Machine Learning Methods for Trust-based Selection of Web Services
Machine Learning Methods for Trust-based Selection of Web Services
About this item
Full title
Author / Creator
Publisher
KSII, the Korean Society for Internet Information
Journal title
Language
English
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Publication information
Publisher
KSII, the Korean Society for Internet Information
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Scope and Contents
Contents
Web services instances can be classified into two categories, namely trusted and untrusted from users. A web service with high throughput (TP) and low response time (RT) instance values is a trusted web service. Web services are not trustworthy due to the mismatch in the guaranteed instance values and the actual values achieved by users. To perform...
Alternative Titles
Full title
Machine Learning Methods for Trust-based Selection of Web Services
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9928303
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9928303
Other Identifiers
ISSN
1976-7277
E-ISSN
1976-7277
DOI
10.3837/tiis.2022.01.003