Kok-Leong Ong

Orcid: 0000-0003-4688-7674

According to our database1, Kok-Leong Ong authored at least 57 papers between 1999 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Client-side Gradient Inversion Against Federated Learning from Poisoning.
CoRR, 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

2021
Dynamic swarm class rebalancing for the process mining of rare events.
J. Supercomput., 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

Sleep pattern inference using IoT sonar monitoring and machine learning with Kennard-stone balance algorithm.
Comput. Electr. Eng., 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
Predictive Modelling of Training Loads and Injury in Australian Football.
Int. J. Comput. Sci. Sport, 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

Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016.
Australas. J. Inf. Syst., 2017

Towards Next Generation Rubrics: An Automated Assignment Feedback System.
Australas. J. Inf. Syst., 2017

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

2016
SSC: cloud-based data stream management in distributed environments.
Int. J. High Perform. Comput. Netw., 2016

Predicting ratings of perceived exertion in Australian football players: methods for live estimation.
Int. J. Comput. Sci. Sport, 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
Business Analytics Editorial.
Australas. J. Inf. Syst., 2015

A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness.
Australas. J. Inf. Syst., 2015

Improving Bridge Deterioration Modelling Using Rainfall Data from the Bureau of Meteorology.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

2014
Participatory sensing and education: Helping the community mitigate sleep disturbance from traffic noise.
Int. J. Pervasive Comput. Commun., 2014

Using iTextbook as an Alternate Frontend to Learning Management Systems.
Proceedings of the CSEDU 2014, 2014

2012
An Adaptive Algorithm for Finding Frequent Sets in Landmark Windows.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

Sensor-Cloud Computing: Novel Applications and Research Problems.
Proceedings of the Networked Digital Technologies - 4th International Conference, 2012

Why Web-Based Pseudo Relevance Feedback Systems Fail.
Proceedings of the Seventh International Conference on Knowledge, 2012

Detecting Topic Labels for Tweets by Matching Features from Pseudo-Relevance Feedback.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

2011
Real-Time Detection of Parked Vehicles from Multiple Image Streams.
Proceedings of the Networked Digital Technologies - Third International Conference, 2011

2009
Frequent Sets Mining in Data Stream Environments.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Incremental and Adaptive Clustering Stream Data over Sliding Window.
Proceedings of the Database and Expert Systems Applications, 20th International Conference, 2009

An EM-Based Algorithm for Clustering Data Streams in Sliding Windows.
Proceedings of the Database Systems for Advanced Applications, 2009

2008
Online mining of frequent sets in data streams with error guarantee.
Knowl. Inf. Syst., 2008

2007
Enhancing the Effectiveness of Clustering with Spectra Analysis.
IEEE Trans. Knowl. Data Eng., 2007

Dynamical Systems for Discovering Protein Complexes and Functional Modules from Biological Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Discovering Frequent Sets from Data Streams with CPU Constraint.
Proceedings of the Data Mining and Analytics 2007, 2007

2006
Buying and Selling with Insurance in Open Multi-agent Marketplace.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Integrating Insurance Services, Trust and Risk Mechanisms into Multi-agent Systems.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Adaptive Load Shedding for Mining Frequent Patterns from Data Streams.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

EStream: Online Mining of Frequent Sets with Precise Error Guarantee.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Safely Delegating Data Mining Tasks.
Proceedings of the Data Mining and Analytics 2006, 2006

2005
Agents and Stream Data Mining: A New Perspective.
IEEE Intell. Syst., 2005

Visual Terrain Analysis of High-Dimensional Datasets.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

<i>sigma</i>-SCLOPE: Clustering Categorical Streams Using Attribute Selection.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Trading in Open Marketplace Using Trust and Risk.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Spectral Kernels for Classification.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005

Insurance Services in Multi-agent Systems.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Enhancements to knowledge discovery for effective business objectives
PhD thesis, 2004

A Reputation-Based Trust Model for Agent Societies.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

A Spectroscopy of Texts for Effective Clustering.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

OWDEAH: Online Web Data Extraction Based on Access History.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

2003
FSSM: Fast Construction of the Optimized Segment Support Map.
Proceedings of the Data Warehousing and Knowledge Discovery, 5th International Conference, 2003

CrystalBall : A Framework for Mining Variants of Association Rules.
Proceedings of the Database Technologies 2003, 2003

2002
Mining Relationship Graphs for Effective Business Objectives.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

1999
Calling All Agents, Where Are You?
Proceedings of the 10th International Workshop on Database & Expert Systems Applications, 1999

Non-Repudiation in an Agent-Based Electronic Commerce System.
Proceedings of the 10th International Workshop on Database & Expert Systems Applications, 1999


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