Trustworthiness in Social Big Data Incorporating Semantic Analysis, Machine Learning and Distributed Data Processing
This thesis presents several state-of-the-art approaches constructed for the purpose of (i) studying the trustworthiness of users in Online Social Network platforms, (ii) deriving concealed knowledge from their textual content, and (iii) classifying and predicting the domain knowledge of users and t...
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| Format: | Thesis |
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Curtin University
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/70285 |
| _version_ | 1848762263087874048 |
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| author | Abu Salih, Bilal Ahmad Abdal Rahman |
| author_facet | Abu Salih, Bilal Ahmad Abdal Rahman |
| author_sort | Abu Salih, Bilal Ahmad Abdal Rahman |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis presents several state-of-the-art approaches constructed for the purpose of (i) studying the trustworthiness of users in Online Social Network platforms, (ii) deriving concealed knowledge from their textual content, and (iii) classifying and predicting the domain knowledge of users and their content. The developed approaches are refined through proof-of-concept experiments, several benchmark comparisons, and appropriate and rigorous evaluation metrics to verify and validate their effectiveness and efficiency, and hence, those of the applied frameworks. |
| first_indexed | 2025-11-14T10:44:47Z |
| format | Thesis |
| id | curtin-20.500.11937-70285 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:44:47Z |
| publishDate | 2018 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-702852018-08-08T06:25:24Z Trustworthiness in Social Big Data Incorporating Semantic Analysis, Machine Learning and Distributed Data Processing Abu Salih, Bilal Ahmad Abdal Rahman This thesis presents several state-of-the-art approaches constructed for the purpose of (i) studying the trustworthiness of users in Online Social Network platforms, (ii) deriving concealed knowledge from their textual content, and (iii) classifying and predicting the domain knowledge of users and their content. The developed approaches are refined through proof-of-concept experiments, several benchmark comparisons, and appropriate and rigorous evaluation metrics to verify and validate their effectiveness and efficiency, and hence, those of the applied frameworks. 2018 Thesis http://hdl.handle.net/20.500.11937/70285 Curtin University fulltext |
| spellingShingle | Abu Salih, Bilal Ahmad Abdal Rahman Trustworthiness in Social Big Data Incorporating Semantic Analysis, Machine Learning and Distributed Data Processing |
| title | Trustworthiness in Social Big Data Incorporating Semantic Analysis, Machine Learning and Distributed Data Processing |
| title_full | Trustworthiness in Social Big Data Incorporating Semantic Analysis, Machine Learning and Distributed Data Processing |
| title_fullStr | Trustworthiness in Social Big Data Incorporating Semantic Analysis, Machine Learning and Distributed Data Processing |
| title_full_unstemmed | Trustworthiness in Social Big Data Incorporating Semantic Analysis, Machine Learning and Distributed Data Processing |
| title_short | Trustworthiness in Social Big Data Incorporating Semantic Analysis, Machine Learning and Distributed Data Processing |
| title_sort | trustworthiness in social big data incorporating semantic analysis, machine learning and distributed data processing |
| url | http://hdl.handle.net/20.500.11937/70285 |