Yee Ling Boo
Orcid: 0000-0001-7188-9597
According to our database1,
Yee Ling Boo
authored at least 23 papers
between 2008 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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Bibliography
2024
Special Issue Editorial on "The Innovative Use of Data Science to Transform How We Work and Live".
Data Sci. Eng., March, 2024
IEEE Access, 2024
Operationalising Analytics Through Resource Orchestration - An Empirical Examination.
Proceedings of the 32nd European Conference on Information Systems, 2024
Proceedings of the Australasian Conference on Information Systems, 2024
2023
Operationalising Analytics for Action: A Conceptual Framework Linking Embedded Analytics with Decision-Making Agility.
Proceedings of the 31st European Conference on Information Systems, 2023
2022
Selection of Cloud Service Providers: A Fuzzy-set Qualitative Comparative Analysis Approach.
Proceedings of the Transfer, Diffusion and Adoption of Next-Generation Digital Technologies, 2022
2021
Future Gener. Comput. Syst., 2021
DarkNetExplorer (DNE): Exploring dark multi-layer networks beyond the resolution limit.
Decis. Support Syst., 2021
2020
J. Comput. Inf. Syst., 2020
Fraud detection: A systematic literature review of graph-based anomaly detection approaches.
Decis. Support Syst., 2020
2019
Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach.
Decis. Support Syst., 2019
2018
Eng. Appl. Artif. Intell., 2018
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018
2017
Eng. Appl. Artif. Intell., 2017
Proceedings of the Data Mining, 2017
2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
2015
A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness.
Australas. J. Inf. Syst., 2015
2014
Proceedings of the Computational Intelligence in Digital Forensics: Forensic Investigation and Applications, 2014
2013
Intell. Syst. Account. Finance Manag., 2013
2011
Clusters driven implementation of a brain inspired model for multi-view pattern identifications.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Identifying multi-view patterns with hierarchy and granularity based multimodal (HGM) cogntive model.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011
2009
PhD thesis, 2009
2008
Mining Multi-modal Crime Patterns at Different Levels of Granularity Using Hierarchical Clustering.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008