James Swee Chuan Tan

Associate Professor James Tan Swee Chuan

Head, Business Analytics Programme

School of Business

Tel: +65 6248 1618

Email: amFtZXN0YW5zY0BzdXNzLmVkdS5zZw==

Educational Qualifications

PhD (Information Technology), Monash University

MIT, Monash University

BIT, University of Southern Queensland

Academic and Professional Experience

2019 - Present
Head of Programme, School of Business

2015 - 2018
Deputy Head of Programme, School of Business

2013 - 2015
Senior Lecturer, School of Business

2010 - 2013
Lecturer, School of Business

2009 - 2010
Postdoctoral Researcher, Monash University

2005 - 2009
PhD Candidate, Monash University

1999 - 2005
Senior Engineer, ST Electronics Engineering

1996 - 1999
Project Engineer, ST Electronics Engineering

1992 - 1996
Engineer, Smith Corona/Compaq Asia

Refereed Journal Articles:

S.C. Tan & J. Tan (2018)
Blind spots in Star Coordinate Visualization: Analysis and correction. Pattern Recognition Letters. 106. 7-12.

K.M. Ting, G.T. Zhou, L.T. Fei & S.C. Tan (2013)
Mass estimation. Machine Learning Journal. 90(1), 127-160.

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.

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.

S.C., Tan. (2003)
An Object Oriented Timetabling Framework. International Journal of Information Technology. Singapore Computer Society. 9 (1), 31-46.

Refereed Conference Papers:

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).

S.C. Tan, K.M. Ting & S.W. Teng. (2011)
Finding Groups in Gene-expression Data using Ant-Based Heuristics. Congress on Evolutionary Computation (CEC 2011).

K.M. Ting, G.T. Zhou, F.T. Liu, S.C. Tan. (2010)
Mass Estimation and Its Applications. The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010).

S.C. Tan, K.M. Ting, S.W. Teng. (2010)
A Comparative Study of a Practical Stochastic Clustering Method with Traditional Methods. The 23rd Australasian Joint Conference on Artificial Intelligence (AI 2010).

K.M. Ting, J.R. Wells, S.C. Tan, S.W. Teng, G.I. Webb (2009)
FaSS: Ensemble of stable learners. Workshops on Multiple Classifier Systems (MCS 2009).

S.C. Tan, K.M. Ting and S.W. Teng. (2008)
Issues of grid-cluster retrievals in Swarm-based Clustering. Congress on Evolutionary Computation (CEC 2008).

S.C. Tan, K.M. Ting and S.W. Teng. (2007)
Examining dissimilarity scaling in ant colony approaches to data clustering. Australian Conference on Artificial Life (ACAL 2007).

S.C. Tan, K.M. Ting and S.W. Teng. (2006)
Reproducing the results of ant-based clustering without using ants. Congress on Evolutionary Computation (CEC 2006).

Books or Chapters in Books:

Tan, S.C. & Lee, Y. H. (2015)
Business Analytics and Big Data Project Planning. In Pan, G., Seow, P. S., Chan, C. & Lim, C. Y. (Eds.), Analytics and Cybersecurity: the shape of things to come (pp. 13-23). Singapore: CPA Australia Ltd.

  • Shanghai Rural Commercial Bank – Consultant for Executive Training
  • SPSS Singapore - Associate Consultant
  • Danfoss Asia Pacific – Consultant for Executive Training
  • US Air Force Office of Scientific Research (AFOSR) – Researcher on Anomaly Detection
  • Monash University – Researcher on Classifier Ensemble

Anomaly Detection; Multiple Classifier Systems; Clustering

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