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Chien-Le Goh
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2020 – today
- 2020
- [c10]Wong Keng Tuck, Chien-Le Goh, Ng Hu:
A False Negative Cost Minimization Ensemble Methods for Customer Churn Analysis. ICSCA 2020: 276-280
2010 – 2019
- 2019
- [c9]Chien-Le Goh, Hong Tat Ewe, Yong Kheng Goh:
An Artificial Cell Simulator based on Artificial Chemistry. ICSCA 2019: 338-342 - 2014
- [c8]Wen-Mau Chong, Chien-Le Goh, Yoon-Teck Bau, Kian Chin Lee:
Fast Numerical Threshold Search Algorithm for C4.5. IIAI-AAI 2014: 930-935 - [c7]Chien-Le Goh, Hong Tat Ewe, Yong Kheng Goh:
Simulating Basic Cell Processes with an Artificial Chemistry System. SCDM 2014: 603-612 - 2013
- [c6]Chien-Le Goh, Hong Tat Ewe, Yong Kheng Goh:
An Artificial Chemistry System for Simulating Cell Chemistry: The First Step. ICSI (1) 2013: 32-39 - 2012
- [c5]Meysam Mohagheghi Fard, Yoon-Teck Bau, Chien-Le Goh:
A Differentiating Evolutionary Computation Approach for the Multidimensional Knapsack Problem. ICSI (1) 2012: 342-349 - 2011
- [c4]Wen-Mau Chong, Chien-Le Goh, Yoon-Teck Bau:
A Practical Framework for Cleaning Robots. BIC-TA 2011: 97-102
1990 – 1999
- 1998
- [c3]Chien-Le Goh, Masahiko Tsukamoto, Shojiro Nishio:
Fast Methods with Magic Sampling for Knowledge Discovery in Deductive Databases with Large Deduction Results. ER Workshops 1998: 14-28 - [c2]Chien-Le Goh, Kazuki Aisaki, Masahiko Tsukamoto, Kaname Harumoto, Shojiro Nishio:
Database Compression with Data Mining Methods. FODO 1998: 97-106 - 1996
- [j1]Chien-Le Goh, Masahiko Tsukamoto, Shojiro Nishio:
Knowledge Discovery in Deductive Databases with Large Deduction Results: the First Step. IEEE Trans. Knowl. Data Eng. 8(6): 952-956 (1996) - 1995
- [c1]Chien-Le Goh, Masahiko Tsukamoto, Shojiro Nishio:
Discovering Charactertistic Rules from Deductive Databases. KDOOD/TDOOD 1995: 50-57
Coauthor Index
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