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2020 – today
- 2023
[c17]Swee Chuan Tan
:
Enhancing Regression Tree Predictions with Terminal-Node Anomaly Detection. AICCC 2023: 21-26- [c16]Dominic Desmond Anil Abraham Emmanuel, Swee Chuan Tan, Priyanka Gupta:
Analysing Online Review by Bank Employees: A Predictive Analytics Approach. iiWAS 2023: 35-42
2010 – 2019
- 2019
- [c15]Swee Chuan Tan:
A Conceptual Framework for Applying Visual Analytics to Operational Processes: with A Call Center Use Case. EBEE 2019: 1-5 - 2018
- [j4]Swee Chuan Tan, Jeksen Tan:
Blind spots in Star Coordinate Visualization: Analysis and correction. Pattern Recognit. Lett. 106: 7-12 (2018) - 2017
- [c14]Swee Chuan Tan, Jeksen Tan:
Lost in Translation: The Fundamental Flaws in Star Coordinate Visualizations. ICCS 2017: 2308-2312 - 2015
- [c13]Swee Chuan Tan, Jess Pei San Lau, Xiaowei Yu:
Finding Similar Time Series in Sales Transaction Data. IEA/AIE 2015: 645-654 - 2014
- [c12]Swee Chuan Tan, Boon Hong Sim:
A Pragmatic Approach to Summarize Association Rules in Business Analytics Projects. TAAI 2014: 322-333 - 2013
- [j3]Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, Swee Chuan Tan:
Mass estimation. Mach. Learn. 90(1): 127-160 (2013) - [c11]Swee Chuan Tan, Jess Pei San Lau:
Time Series Clustering: A Superior Alternative for Market Basket Analysis. DaEng 2013: 241-248 - [c10]Swee Chuan Tan:
Visualising Outliers in Nominal Data. KMO 2013: 347-358 - 2012
- [c9]Swee Chuan Tan:
Simplifying and improving swarm-based clustering. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j2]Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb:
Feature-subspace aggregating: ensembles for stable and unstable learners. Mach. Learn. 82(3): 375-397 (2011) - [j1]Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng:
A general stochastic clustering method for automatic cluster discovery. Pattern Recognit. 44(10-11): 2786-2799 (2011) - [c8]Swee Chuan Tan, Kai Ming Ting, Fei Tony Liu:
Fast Anomaly Detection for Streaming Data. IJCAI 2011: 1511-1516 - [c7]Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng:
Simplifying and improving ant-based clustering. ICCS 2011: 46-55 - 2010
- [c6]Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng:
A Comparative Study of a Practical Stochastic Clustering Method with Traditional Methods. Australasian Conference on Artificial Intelligence 2010: 112-121 - [c5]Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, James Swee Chuan Tan:
Mass estimation and its applications. KDD 2010: 989-998
2000 – 2009
- 2009
- [c4]Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb:
FaSS: Ensembles for Stable Learners. MCS 2009: 364-374 - 2008
- [c3]Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng:
Issues of grid-cluster retrievals in swarm-based clustering. IEEE Congress on Evolutionary Computation 2008: 511-518 - 2007
- [c2]Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng:
Examining Dissimilarity Scaling in Ant Colony Approaches to Data Clustering. ACAL 2007: 269-280 - 2006
- [c1]Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng:
Reproducing the Results of Ant-based Clustering Without Using Ants. IEEE Congress on Evolutionary Computation 2006: 1760-1767
Coauthor Index
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