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2010 – 2019
- 2019
[j15]Cheng-Lung Huang:
Bayesian recommender system for social information sharing: Incorporating tag-based personalized interest and social relationships. Intell. Data Anal. 23(3): 623-639 (2019)- 2014
- [j14]Cheng-Lung Huang, Po-Han Yeh, Cheng-Wei Lin, Den-Cing Wu:
Utilizing user tag-based interests in recommender systems for social resource sharing websites. Knowl. Based Syst. 56: 86-96 (2014) - 2013
- [j13]Cheng-Lung Huang, Wen-Chen Huang, Hung-Yi Chang, Yi-Chun Yeh, Cheng-Yi Tsai:
Hybridization strategies for continuous ant colony optimization and particle swarm optimization applied to data clustering. Appl. Soft Comput. 13(9): 3864-3872 (2013) - [j12]Cheng-Lung Huang, Mu-Chen Chen, Wen-Chen Huang, Sheng-Huang Huang:
Incorporating frequency, recency and profit in sequential pattern based recommender systems. Intell. Data Anal. 17(5): 899-916 (2013) - 2012
- [j11]Huan-Jyh Shyur, Hwa Keng, Ia-Ka I, Cheng-Lung Huang:
Using extended hazard regression model to assess the probability of aviation event. Appl. Math. Comput. 218(21): 10647-10655 (2012)
2000 – 2009
- 2009
- [j10]Cheng-Lung Huang, Wei-Liang Huang:
Handling sequential pattern decay: Developing a two-stage collaborative recommender system. Electron. Commer. Res. Appl. 8(3): 117-129 (2009) - [j9]Te-Sheng Li, Cheng-Lung Huang:
Defect spatial pattern recognition using a hybrid SOM-SVM approach in semiconductor manufacturing. Expert Syst. Appl. 36(1): 374-385 (2009) - [j8]Cheng-Lung Huang, Cheng-Yi Tsai:
A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting. Expert Syst. Appl. 36(2): 1529-1539 (2009) - [j7]Cheng-Lung Huang:
ACO-based hybrid classification system with feature subset selection and model parameters optimization. Neurocomputing 73(1-3): 438-448 (2009) - 2008
- [j6]Cheng-Lung Huang, Jian-Fan Dun:
A distributed PSO-SVM hybrid system with feature selection and parameter optimization. Appl. Soft Comput. 8(4): 1381-1391 (2008) - [j5]Cheng-Lung Huang, Hung-Chang Liao
, Mu-Chen Chen:
Prediction model building and feature selection with support vector machines in breast cancer diagnosis. Expert Syst. Appl. 34(1): 578-587 (2008) - 2007
- [j4]Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang:
Credit scoring with a data mining approach based on support vector machines. Expert Syst. Appl. 33(4): 847-856 (2007) - 2006
- [j3]Cheng-Lung Huang, Chieh-Jen Wang:
A GA-based feature selection and parameters optimizationfor support vector machines. Expert Syst. Appl. 31(2): 231-240 (2006) - [j2]Te-Sheng Li, Cheng-Lung Huang, Zong-Yuan Wu:
Data Mining using Genetic Programming for Construction of a Semiconductor Manufacturing Yield Rate Prediction System. J. Intell. Manuf. 17(3): 355-361 (2006) - [c3]Tsung-Yuan Tseng, Shih-Wei Lin, Cheng-Lung Huang, Rico Lee:
Inconsistency Adjustment in the AHP Using the Complete Transitivity Convergence Algorithm. SMC 2006: 2808-2812 - [c2]Mu-Chen Chen, Hung-Chang Liao, Cheng-Lung Huang:
Predicting Breast Tumor via Mining DNA Viruses with Decision Tree. SMC 2006: 3585-3589 - 2005
- [j1]Mu-Chen Chen, Cheng-Lung Huang, Kai-Ying Chen, Hsiao-Pin Wu:
Aggregation of orders in distribution centers using data mining. Expert Syst. Appl. 28(3): 453-460 (2005) - [c1]Mu-Chen Chen, Cheng-Lung Huang, Hsiao-Pin Wu, Ming-Fu Hsu, Fei-Hou Hsu:
A Data Mining Technique to Grouping Customer Orders in Warehouse Management System. WSTST 2005: 1063-1070
Coauthor Index
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