Yee Ling Boo

According to our database1, Yee Ling Boo authored at least 19 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

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
Detecting covert communities in multi-layer networks: A network embedding approach.
Future Gener. Comput. Syst., 2021

DarkNetExplorer (DNE): Exploring dark multi-layer networks beyond the resolution limit.
Decis. Support Syst., 2021

2020
Framework and Literature Analysis for Crowdsourcing's Answer Aggregation.
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
Task assignment in microtask crowdsourcing platforms using learning automata.
Eng. Appl. Artif. Intell., 2018

Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2017
Feature selection for high dimensional imbalanced class data using harmony search.
Eng. Appl. Artif. Intell., 2017

Meta-Heuristic Multi-objective Community Detection Based on Users' Attributes.
Proceedings of the Data Mining, 2017

2016
Bee Colony Based Worker Reliability Estimation Algorithm in Microtask Crowdsourcing.
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
Building Multi-modal Crime Profiles with Growing Self Organising Maps.
Proceedings of the Computational Intelligence in Digital Forensics: Forensic Investigation and Applications, 2014

2013
The Impact of Feature Selection: a Data-Mining Application in Direct Marketing.
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
Cluster driven approach for pattern identification and understanding.
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


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