Associate Professor James Tan Swee Chuan

Selected Publications

Refereed Journal Articles:

• S.C. Tan (2025). Beyond the Iceberg: Addressing Hidden Fare Inflation in Titanic Data. Journal of Scientific & Industrial Research (JSIR), 84(7), 770–774. (SCImago: Q3)
• S.C. Tan (2025). Label-efficient Response Modelling: Cost-Effective Marketing Using Cluster-Based Active Sampling. Journal of Data Science, 1–14. DOI: 10.6339/25-JDS1198. (SCImago: Q2)
• S.C. Tan (2024). Decision Tree Regression with Residual Outlier Detection. Journal of Data Science and Intelligent Systems, 3(2), 126-135. https://doi.org/10.47852/bonviewJDSIS42023861 (SCopus Indexed)
• S.C. Tan & J. Tan (2018).  Blind spots in Star Coordinate Visualization: Analysis and correction.  Pattern Recognition Letters. 106. 7-12. (SCImago: Q1)
• K.M. Ting, G.T. Zhou, L.T. Fei & S.C. Tan (2013). Mass estimation. Machine Learning Journal. 90(1), 127-160. (SCImago: Q1)
• S.C. Tan, K.M. Ting & S.W. Teng (2011). A General Stochastic Clustering Method for Automatic Cluster Discovery. Pattern Recognition Journal. 44(10-11), 2786-2799. (SCImago: Q1)
• K.M. Ting, J.R. Wells, S.C. Tan, S.W. Teng & G.I. Webb. (2011). Feature-Subspace Aggregating: Ensembles for Stable and Unstable Learners. Machine Learning Journal. 82(3), 375-397. (SCImago: Q1)
• S.C., Tan. (2003) An Object Oriented Timetabling Framework. International Journal of Information Technology. Singapore Computer Society. 9 (1), 31-46. (SCImago: Q2)

Book Chapter:

• S.C. Tan & P. Gupta (2023). Analytics in the Age of Disruption. In Leading in a Digitally Disruptive World. World Scientific. https://doi.org/10.1142/9789811278570_0006

Refereed Conference Papers:

• S.C. Tan & T, Chu (2025). Catching Credit Card Fraudsters Without Knowing One: A Micro-Cluster-Based Detection Approach. The 6th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE 2025).
• S.C. Tan & M.A.T. Lam (2024). Ensemble Learning: An Indispensable Ingredient for Enhancing Regression Tree Performance. The 11th International Conference on Soft Computing & Machine Intelligence (ISCMI 2024), Melbourne, Australia. IEEE. doi:10.1109/ISCMI63661.2024.10851594.
• S. C. Tan (2023). Enhancing Regression Tree Predictions with Terminal-Node Anomaly Detection. The 6th Artificial Intelligence and Cloud Computing Conference (AICCC 2023). ACM Conference Proceedings (ISBN: 979-8-4007-1622-5). Dec 2023.
• S. C. Tan & S. Zhu (2023). Binary search of the optimal cut-point value in ROC analysis using the F1 score. International Conference on Engineering Mathematics and Physics (ICEMP 2023). IOP Science Conference Proceedings. July 2023.
• D. Emmanuel, S. C. Tan & P. Gupta (2023). Analysing Online Review by Bank Employees: A Predictive Analytics Approach. The 25th International Conference on Information Integration and Web Intelligence (iiWAS2023). Springer Lecture Notes in Computer Science. (Dec 2023)
• S. C. Tan  (2018).  Improving Association Rule Mining Using Clustering-based Discretization of Numerical Data. International Conference on Intelligent and Innovative Computing Applications (ICONIC 2018).
• S.C. Tan, & J. Tan. (2017) Lost in translation: The fundamental flaws in star coordinate visualizations. International Conference on Computational Science (ICCS 2017).
• S. C. Tan & S. Tong  (2016).  Fast retrievals of test-pad coordinates from photo images of printed circuit boards. International Conference on Advanced Mechatronic Systems (ICAMechS 2016).
• S.C. Tan (2015) Using Supervised Attribute Selection for Unsupervised Learning. The Fourth International Conference on Advanced Computer Science Applications and Technologies (ASCAT 2015).
• S.C. Tan, P.S. Lau & X.W. Yu (2015) Finding similar time series in sales transaction data. The International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems.
• S.C. Tan & B. H. Sim (2014) A Pragmatic Approach to Summarize Association Rules in Business Analytics Projects. The International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2014).
• S.C. Tan, S.H. Yip & A. Rahman (2014) One Pass Outlier Detection for Streaming Categorical Data. The 3rd International Workshop on Intelligent Data Analysis and Management.
• S.C. Tan (2014) Visualising Outliers in Nominal Data. The 8th International Conference on Knowledge Management in Organizations (KMO 2013).
• S.C. Tan & P.S. Lau (2014) Time series clustering: A superior alternative for market basket analysis. The First International Conference on Advanced Data and Information Engineering (DaEng-2013).
• S.C. Tan. (2012) Simplifying and improving swarm-based clustering. Congress on Evolutionary Computation (CEC 2012).
• S.C. Tan, K.M. Ting & T.F. Liu. (2011) Fast Anomaly Detection for Streaming Data. International Joint Conference on Artificial Intelligence (IJCAI 2011).
• S.C. Tan, K.M. Ting & S.W. Teng. (2011) Simplifying and Improving Ant-based Clustering. International Conference on Computational Science (ICCS 2011).