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Kok-Leong Ong
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2020 – today
- 2024
- [j22]Alireza Moayedikia, Hamed Jahani, Md Anisur Rahman, Kok-Leong Ong:
Three-layered location recommendation algorithm using spectral clustering. Soc. Netw. Anal. Min. 14(1): 99 (2024) - [c35]Abhinav Shrivastava, Humza Naseer, Stuart Black, Yee Ling Boo, Booi Kam, Kok-Leong Ong:
Operationalising Analytics Through Resource Orchestration - An Empirical Examination. ECIS 2024 - [c34]Bonan Zhang, Chao Chen, Ickjai Lee, Kyungmi Lee, Kok-Leong Ong:
Clustering-based Evaluation Framework of Feature Extraction Approaches for ECG Biometric Authentication. IJCNN 2024: 1-9 - [i2]Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Ming Ding, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang:
Memorization in deep learning: A survey. CoRR abs/2406.03880 (2024) - 2023
- [c33]Abhinav Shrivastava, Humza Naseer, Booi Kam, Yee Ling Boo, Kok-Leong Ong:
Operationalising Analytics for Action: A Conceptual Framework Linking Embedded Analytics with Decision-Making Agility. ECIS 2023 - [i1]Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shirui Pan, Kok-Leong Ong, Jun Zhang, Yang Xiang:
Client-side Gradient Inversion Against Federated Learning from Poisoning. CoRR abs/2309.07415 (2023) - 2021
- [j21]Tengyue Li, Yaoyang Wu, Feng Wu, Sabah Mohammed, Raymond K. Wong, Kok-Leong Ong:
Sleep pattern inference using IoT sonar monitoring and machine learning with Kennard-stone balance algorithm. Comput. Electr. Eng. 93: 107181 (2021) - [j20]Tahereh Pourhabibi, Kok-Leong Ong, Booi Hon Kam, Yee Ling Boo
:
DarkNetExplorer (DNE): Exploring dark multi-layer networks beyond the resolution limit. Decis. Support Syst. 146: 113537 (2021) - [j19]Tahereh Pourhabibi, Kok-Leong Ong, Yee Ling Boo
Detecting covert communities in multi-layer networks: A network embedding approach. Future Gener. Comput. Syst. 124: 467-479 (2021) - [j18]Jinyan Li, Yaoyang Wu
Dynamic swarm class rebalancing for the process mining of rare events. J. Supercomput. 77(7): 7549-7583 (2021) - 2020
- [j17]Tahereh Pourhabibi, Kok-Leong Ong, Booi Kam, Yee Ling Boo
Fraud detection: A systematic literature review of graph-based anomaly detection approaches. Decis. Support Syst. 133: 113303 (2020) - [j16]Alireza Moayedikia, William Yeoh
Framework and Literature Analysis for Crowdsourcing's Answer Aggregation. J. Comput. Inf. Syst. 60(1): 49-60 (2020)
2010 – 2019
- 2019
- [j15]Alireza Moayedikia, William Yeoh
Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach. Decis. Support Syst. 122 (2019) - [e8]Thuc Duy Le
Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings. Communications in Computer and Information Science 1127, Springer 2019, ISBN 978-981-15-1698-6 [contents] - 2018
- [j14]Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo
Task assignment in microtask crowdsourcing platforms using learning automata. Eng. Appl. Artif. Intell. 74: 212-225 (2018) - [j13]David L. Carey
Predictive Modelling of Training Loads and Injury in Australian Football. Int. J. Comput. Sci. Sport 17(1): 49-66 (2018) - [c32]Tahereh Pourhabibi, Yee Ling Boo
Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network. AusDM 2018: 228-240 - [e7]Yee Ling Boo, David Stirling, Lianhua Chi, Lin Liu, Kok-Leong Ong, Graham Williams:
Data Mining - 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers. Communications in Computer and Information Science 845, Springer 2018, ISBN 978-981-13-0291-6 [contents] - 2017
- [j12]Nilupulee Nathawitharana, Qing Huang, Kok-Leong Ong, Peter Vitartas, Madhura Jayaratne, Damminda Alahakoon, Sarah Midford, Aleks Michalewicz, Gillian Sullivan Mort, Tanvir Ahmed:
Towards Next Generation Rubrics: An Automated Assignment Feedback System. Australas. J. Inf. Syst. 21 (2017) - [j11]Kok-Leong Ong, Zahid Islam, Yanchang Zhao:
Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016. Australas. J. Inf. Syst. 21 (2017) - [j10]Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo
Feature selection for high dimensional imbalanced class data using harmony search. Eng. Appl. Artif. Intell. 57: 38-49 (2017) - [c31]Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo
Meta-Heuristic Multi-objective Community Detection Based on Users' Attributes. AusDM 2017: 250-264 - 2016
- [j9]David L. Carey
Predicting ratings of perceived exertion in Australian football players: methods for live estimation. Int. J. Comput. Sci. Sport 15(2) (2016) - [j8]Kok-Leong Ong, Andrzej Goscinski, Yuzhang Han, Peter Brezany, Zahir Tari
SSC: cloud-based data stream management in distributed environments. Int. J. High Perform. Comput. Netw. 9(3): 171-189 (2016) - [c30]Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo, William Yeoh
Bee Colony Based Worker Reliability Estimation Algorithm in Microtask Crowdsourcing. ICMLA 2016: 713-717 - 2015
- [j7]Neil Foshay, William Yeoh, Yee Ling Boo, Kok-Leong Ong, David Mattie:
A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness. Australas. J. Inf. Syst. 19 (2015) - [j6]Kok-Leong Ong, Damminda Alahakoon, Graeme G. Shanks:
Business Analytics Editorial. Australas. J. Inf. Syst. 19 (2015) - [c29]Qing Huang, Kok-Leong Ong, Damminda Alahakoon:
Improving Bridge Deterioration Modelling Using Rainfall Data from the Bureau of Meteorology. AusDM 2015: 161-167 - [e6]Kok-Leong Ong, Yanchang Zhao, Md Glenn Stone, Md Zahidul Islam:
Thirteenth Australasian Data Mining Conference, AusDM 2015, Sydney, Australia, August 2015. CRPIT 168, Australian Computer Society 2015, ISBN 978-1-921770-18-0 [contents] - 2014
- [j5]Kok-Leong Ong, Simone Leao, Adam Krezel:
Participatory sensing and education: Helping the community mitigate sleep disturbance from traffic noise. Int. J. Pervasive Comput. Commun. 10(4): 419-441 (2014) - [c28]Mahan Bagheri, Kok-Leong Ong, Jamie Mustard:
Using iTextbook as an Alternate Frontend to Learning Management Systems. CSEDU (1) 2014: 85-96 - [e5]Xue Li, Lin Liu, Kok-Leong Ong, Yanchang Zhao:
Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, Australia, November 2014. CRPIT 158, Australian Computer Society 2014, ISBN 978-1-921770-17-3 [contents] - 2012
- [c27]Jing Zhang, Derek Liu, Kok-Leong Ong, Zhijie Li, Ming Li:
Detecting Topic Labels for Tweets by Matching Features from Pseudo-Relevance Feedback. AusDM 2012: 9-20 - [c26]Jing Zhang, Kok-Leong Ong, Vincent C. S. Lee:
Why Web-Based Pseudo Relevance Feedback Systems Fail. KICSS 2012: 216-222 - [c25]Yu-Hsn Liu, Kok-Leong Ong, Andrzej Goscinski:
Sensor-Cloud Computing: Novel Applications and Research Problems. NDT (2) 2012: 475-486 - [c24]Xuan-Hong Dang, Kok-Leong Ong, Vincent C. S. Lee:
An Adaptive Algorithm for Finding Frequent Sets in Landmark Windows. SUM 2012: 590-597 - [e4]Vincent C. S. Lee, Kok-Leong Ong:
Seventh International Conference on Knowledge, Information and Creativity Support Systems, KICSS 2012, Melbourne, Victoria, Australia, November 8-10, 2012. IEEE 2012, ISBN 978-1-4673-4564-4 [contents] - 2011
- [c23]Kok-Leong Ong, Vincent C. S. Lee:
Real-Time Detection of Parked Vehicles from Multiple Image Streams. NDT 2011: 280-291 - [e3]Peter Vamplew, Andrew Stranieri, Kok-Leong Ong, Peter Christen, Paul J. Kennedy:
Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, Australia, December 2011. CRPIT 121, Australian Computer Society 2011, ISBN 978-1-921770-02-9 [contents]
2000 – 2009
- 2009
- [c22]Xuan-Hong Dang, Vincent C. S. Lee, Wee Keong Ng
An EM-Based Algorithm for Clustering Data Streams in Sliding Windows. DASFAA 2009: 230-235 - [c21]Xuan-Hong Dang, Vincent C. S. Lee, Wee Keong Ng
Incremental and Adaptive Clustering Stream Data over Sliding Window. DEXA 2009: 660-674 - [e2]Paul J. Kennedy, Kok-Leong Ong, Peter Christen:
Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, Australia, December 2009. CRPIT 101, Australian Computer Society 2009, ISBN 978-1-920682-82-8 [contents] - [r1]Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vincent C. S. Lee:
Frequent Sets Mining in Data Stream Environments. Encyclopedia of Data Warehousing and Mining 2009: 901-906 - 2008
- [j4]Xuan-Hong Dang, Wee Keong Ng
Online mining of frequent sets in data streams with error guarantee. Knowl. Inf. Syst. 16(2): 245-258 (2008) - 2007
- [j3]Wenyuan Li, Ying Liu, Hung-Chung Huang, Yanxiong Peng, Yongjing Lin, Wee Keong Ng
Dynamical Systems for Discovering Protein Complexes and Functional Modules from Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 4(2): 233-250 (2007) - [j2]Wenyuan Li, Wee Keong Ng
Enhancing the Effectiveness of Clustering with Spectra Analysis. IEEE Trans. Knowl. Data Eng. 19(7): 887-902 (2007) - [c20]Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vincent C. S. Lee:
Discovering Frequent Sets from Data Streams with CPU Constraint. AusDM 2007: 121-128 - [e1]Kok-Leong Ong, Wenyuan Li, Junbin Gao:
Integrating Artificial Intelligence and Data Mining - Proceedings of the 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007), Gold Coast, Queensland, Australia, December 2007. Proceedings. CRPIT 84, Australian Computer Society 2007, ISBN 978-1-920682-65-1 [contents] - 2006
- [c19]Ling Qiu, Kok-Leong Ong, Siu Man Lui:
Safely Delegating Data Mining Tasks. AusDM 2006: 1-7 - [c18]Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong:
EStream: Online Mining of Frequent Sets with Precise Error Guarantee. DaWaK 2006: 312-321 - [c17]Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong:
Adaptive Load Shedding for Mining Frequent Patterns from Data Streams. DaWaK 2006: 342-351 - [c16]Yuk-Hei Lam, Zili Zhang, Kok-Leong Ong:
Integrating Insurance Services, Trust and Risk Mechanisms into Multi-agent Systems. PRICAI 2006: 849-853 - [c15]Yuk-Hei Lam, Zili Zhang, Kok-Leong Ong:
Buying and Selling with Insurance in Open Multi-agent Marketplace. PRICAI 2006: 945-949 - 2005
- [j1]Kok-Leong Ong, Zili Zhang, Wee Keong Ng
Agents and Stream Data Mining: A New Perspective. IEEE Intell. Syst. 20(3): 60-67 (2005) - [c14]Yuk-Hei Lam, Zili Zhang, Kok-Leong Ong:
Insurance Services in Multi-agent Systems. Australian Conference on Artificial Intelligence 2005: 664-673 - [c13]Wenyuan Li, Kok-Leong Ong, Wee Keong Ng, Aixin Sun
Spectral Kernels for Classification. DaWaK 2005: 520-529 - [c12]Yuk-Hei Lam, Zili Zhang, Kok-Leong Ong:
Trading in Open Marketplace Using Trust and Risk. IAT 2005: 471-474 - [c11]Poh Hean Yap, Kok-Leong Ong:
sigma-SCLOPE: Clustering Categorical Streams Using Attribute Selection. KES (2) 2005: 929-935 - [c10]Wenyuan Li, Kok-Leong Ong, Wee Keong Ng:
Visual Terrain Analysis of High-Dimensional Datasets. PKDD 2005: 593-600 - 2004
- [b1]Kok-Leong Ong:
Enhancements to knowledge discovery for effective business objectives. Nanyang Technological University, Singapore, 2004 - [c9]Kok-Leong Ong, Wenyuan Li, Wee Keong Ng, Ee-Peng Lim
SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes. DaWaK 2004: 209-218 - [c8]Zhao Li, Wee Keong Ng, Kok-Leong Ong:
OWDEAH: Online Web Data Extraction Based on Access History. DaWaK 2004: 269-278 - [c7]Wenyuan Li, Wee Keong Ng, Kok-Leong Ong, Ee-Peng Lim
A Spectroscopy of Texts for Effective Clustering. PKDD 2004: 301-312 - [c6]Yuk-Hei Lam, Zili Zhang, Kok-Leong Ong:
A Reputation-Based Trust Model for Agent Societies. PRICAI 2004: 979-980 - 2003
- [c5]Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim:
CrystalBall : A Framework for Mining Variants of Association Rules. ADC 2003: 85-94 - [c4]Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim
FSSM: Fast Construction of the Optimized Segment Support Map. DaWaK 2003: 257-266 - 2002
- [c3]Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim
Mining Relationship Graphs for Effective Business Objectives. PAKDD 2002: 561-566
1990 – 1999
- 1999
- [c2]Kok-Leong Ong, Christopher Chew, Wee Keong Ng, Ee-Peng Lim
Calling All Agents, Where Are You? DEXA Workshop 1999: 635-639 - [c1]C.-C. Liew, Wee Keong Ng, Ee-Peng Lim
Non-Repudiation in an Agent-Based Electronic Commerce System. DEXA Workshop 1999: 864-868
Coauthor Index
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