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Governmental data analytics: an agile framework development and a real world data analytics case study
Published 2021“…The proposed framework introduces a systematic technique for business problem identification. To validate our framework, we used our proposed framework to help a governmental organisation in implementing their first data analytics initiative…”
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Using big data safety analytics for proactive traffic management
Published 2015“…Processing this large data requires different analytical and data mining techniques. …”
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A Survey of Data Clustering Techniques
Published 2023“…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. …”
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Towards a Conceptual Framework on the Importance of Privacy and Security Concerns in Audit Data Analytics
Published 2021“…Audit firms, in particular, have made significant investments in the field of data analytics, as traditional auditing techniques have not kept pace with the evolving economy and large investments of audit clients in technology. …”
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Get full text
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Emergency management system design for accurate data: a cognitive analytics management approach
Published 2021“…Analytics process: Techniques of data analytics were applied to the selected data sets, problems were identified in user–system interaction and in the system design. …”
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Use of Data Mining Techniques to Detect Fraud in Procurement Sector
Published 2022“…However, unsupervised data mining techniques are reliable in detecting fraud before they happen. …”
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Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
Published 2020“…The data analytics maturity model is used as the conceptual model for evaluating both data analytics and data governance in this research. …”
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A Methodology of Rule Discovery from Large-scale Multi-tier Noisy Educational Data
Published 2018Get full text
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R-CONV++: uncovering privacy vulnerabilities through analytical gradient inversion attacks
Published 2025“…<p dir="ltr">Federated learning has emerged as a prominent privacy-preserving technique for leveraging large-scale distributed datasets by sharing gradients instead of raw data. …”
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Navigating the Stock Market: The Role of State-of-the-Art Deep Learning Techniques
Published 2024“…Due to the nonlinear, complicated, volatile, and dynamic character of stock data, forecasting stock prices is challenging. This study aims to address these challenges and improve prediction accuracy through advanced modelling techniques.…”
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Graph Computing Systems and Partitioning Techniques: A Survey
Published 2022“…Therefore, graph computing systems with integrated various graph partitioning techniques have been envisioned as a promising paradigm to handle large-scale graph analytics in these application domains. …”
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Development of Evaluation Model for Government Services Performance Using Analytic Hierarchy Process
Published 2018Get full text
doctoralThesis -
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Implementing Fuzzy Analytical Hierarchy Process and Similarity Approach to Predict Health and Safety Incidents in Dubai Construction Projects
Published 2022“…The developed MATLAB program is created to conduct the assessment method of the construction risks. The mathematical techniques utilised in the program are multi-criteria decision matrix, fuzzy analytic hierarchy process and similarity TOPSIS. …”
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Personalizing Group Instruction Using Knowledge Space Theory and Clustering Techniques
Published 2016Get full text
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Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Published 2019“…In this paper, we survey the area of smart building with a special focus on the role of techniques from machine learning and big data analytics. …”
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The Use of Artificial Intelligence and Big Data in the Continuous Improvement Process of Engineering Curricula
Published 2019Get full text
doctoralThesis