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Leon S. L. Wang, Ph. D. Professor and Academic Vice President. National University of Kaohsiung. Kaohsiung University Road. Kaohsiung, Taiwan 8. Phone: +8. 86- 7- 5.
Fax: +8. 86- 7- 5. E- mail: slwang@nuk. Leon Shyue- Liang Wang received his Ph. D. in Applied Mathematics from State University of New York at Stony Brook in 1. Since then, he has been teaching in University of New Haven, New York Institute of Technology in the United States of America, as well as I- Shou University and National University of Kaohsiung in Taiwan.
He had served as Chairman of Information Management Department, Director of Computing Center, and Director of Library in I- Shou University and Chairman of Information Management Department, Dean of College of Management in National University of Kaohsiung. In summer 2. 00. 0, he was visiting professor in Mechatronics Lab in the Mechanical Engineering Department of University of Melbourne, Australia. He is currently professor of Information Management and Academic Vice President at National University of Kaohsiung. Dr. Wang has published more than 2.
Dr. Wang is a member of IEEE, Chinese Fuzzy System Association Taiwan, Chinese Computer Association, and Chinese Information Management Association. He is one of recipients of 2. Flexible Wage Award from Ministry of Education in Taiwan, President of Taiwanese Association for Social Networks, and a Fellow of The Institute of Engineering and Technology in UK. PUBLICATIONSA. Journal Papers. Wang, S. L., Chen, Y.
M., “An efficient numerical method for exterior and interior inverse problems of Helmholtz equation”, Wave Motion, vol. July 1. 99. 1, pp. Netherlands. (EI)2. Wang, S. L., “Characterization of Query Responses on Fuzzy Databases Based on Similarity Relations”, Journal of Kaohsiung Polytechnic Institute, Vol. Wang, S. L., Hwang, T.
J., “Handling Missing Attribute Values in Similarity- Based Fuzzy Object- Oriented Database”, Journal of I- Shou University, Vol. Wang, S. L., Tasi, Y. J., “Interval- Valued Compound Fuzzy Attributes in Fuzzy Queries”, Journal of I- Shou University, Vol. Wang, S. L., Wu, Y. H., “Incomplete Reasoning of Fuzzy Expert Systems under Fuzzy Petri Nets”, Journal of I- Shou University, Vol. Wang, S. L., Tsai, Y. J., “Null Queries with Compound Fuzzy Attributes”, International Journal of Advanced Computational Intelligence, Vol.
No. 6, Dec. 1. 99. Hong, T. P., Wang, S. L., “Determining Appropriate Membership Functions to Simplify Fuzzy Induction”, International Journal of Intelligent Data Analysis, Vol. No. 1, 2. 00. 0, 5. EI)8. Hong, T. P., Wang, T. T., Wang, S.
L., Chien, B. C., "Learning a Coverage Set of Maximally General Fuzzy Rules by Rough Sets", Expert Systems with Applications, 1. SCI, EI)9. Hong, T. P., Wang, T. T., and Wang, S. L.,” Knowledge Acquisition from Quantitative Data Using the Rough- Set Theory”, International Journal of Intelligent Data Analysis, Vol.
No. 2, 2. 00. 0, 2. EI)1. 0. Wang, S. L., Hong, T. P., “Incomplete Input Inference on Fuzzy Production Systems Supported by Petri Nets”, International Journal of Artificial Intelligence Tools, Vol. No. 4, Dec. 2. 00. Hong, T. P., Wang, C. L., Wang, S. L., "Solving Flexible Flow- shop Problems by Combining LPT and Gupta Scheduling Algorithms”, Hybrid Methods in Engineering, Vol. No. 1, 2. 00. 1, 7.
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Wang, S. L., Tsai, Y. J., “Generating Compound Attributes from Fuzzy Data for Null Queries”, Intelligent Automation and Soft Computing, Vol. No. 2, 2. 00. 1, 1- 8. SCI)1. 3. Wang, S. L., Tsai, J. S., Hong, T.
P., “Discovering Functional Dependencies from Similarity- based Fuzzy Relational Databases”, International Journal of Intelligent Data Analysis, Vol. No. 2, June 2. 00. EI)1. 4. Wang, S. L., Hong, T. P., Lin, W. Y., “Answering Null Queries by Analogical Reasoning on Similarity- based Fuzzy Relational Databases”, International Journal of Advanced Computational Intelligence, Vol. No. 3, June 2. 00.
Hong, T. P., Wang, T. T., and Wang, S. L., “A Fuzzy CDS- based Scheduling Algorithm for More Than Two Machine Centers”, International Journal of Advanced Computational Intelligence, Vol.
No. 4, September 2. Wang, S. L., Chen, Y. C., Hong, T. P., Chien, B. C., “Validation and Data Mining of Inclusion Dependencies in Database Reverse Engineering”, Journal of Information Management (Taiwan), Vol. No. 2, September 2.
Success with network marketing is easier than you think! Learn the tips, tricks and advice that can turn you into a top income earner. Some people look at the low unemployment rate of 3.20 percent in Malaysia and assume that there must be an endless supply. Leon Shyue-Liang Wang received his Ph.D. in Applied Mathematics from State University of New York at Stony Brook in 1984. Since then, he has been teaching in University of New Haven, New York Institute of Technology in the United States of America, as well. Fire up your Singapore nightlife experience, with exclusive information on the hottest Singapore clubs, bars, discos, pubs, parties & ladies nights in town! e-Clubbing.com - SINGAPORE Nightlife offers an unbiased nightlife guide to the best clubs, chill-out joints. Inspiring the World Through Social Media. Social Media Keeping Your Head Above Water in Social Media 0 Comments 28 October 2015 The pace of social media sometimes feels like a treadmill.
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Hong, T. P., Wang, T. T., and Wang, S. L., “A Palmer- based Continuous Fuzzy Flexible Flow- shop Scheduling Algorithm”, International Journal of Soft Computing, Vol. No. 6, 2. 00. 1, 4.
Hong, T. P., Tseng. L. H., and Wang, S.
L., "Learning rules from incomplete training examples by rough sets," Expert Systems with Applications, 2. SCI, EI). 1. 9. Hong, T. P., Kuo, C. S., Chi, S. C., and Wang, S. L., "A Fuzzy Apriori. Tid Mining Algorithm”, International Mathematical Journal, Vol. No. 1. 1, 2. 00. 2, 1.
Chien, B. C., Lee, S. Y., and Wang, S. L., “The Short- term Sale Forecasting based on Grey Theory”, Journal of Information Management (Taiwan), Vol. No. 1, March 2. 00. Hong, T. P., Lin, K. Y., and Wang, S. L., "Fuzzy data mining for interesting generalized association rules," Fuzzy Sets and Systems, Vol.
No. 2, 2. 00. 3, 2. SCI, EI)2. 2. Hong, T. P., Lin, K. Y., and Wang, S. L., "Mining Fuzzy Generalized Association Rules from Quantitative Data under Fuzzy Taxonomic Structures," International Journal of Fuzzy Systems, Vol.
No. 4, 2. 00. 3, 2. Wang, S. L., Ito, S., and Jafari, A., “Using Unknown for Hiding Sensitive Items in Association Rule Mining”, WSEAS Transactions on Information Science and Applications, Issue 1, Volume 1, 2. ISSN 1. 79. 0- 0. EI)2. 4. Lo, W. S., Wang, S.
L., Hong, T. P., “A Bottom Up Discovery of Generalized Web Browsing Patterns”, WSEAS Transactions on Information Science and Applications, Issue 1, Volume 1, 2. ISSN 1. 79. 0- 0. EI)2. 5. Lo, W. S., Hong, T. P., Wang, S. L., and Tao, Y. H., “Semantic Web and Multiple- Agents in SCM”, International Journal of Electronic Business Management, Vol. No. 2, 2. 00. 4, 1.
Hong, T. P., Kuo,C. S., and Wang, S. L., "A Fuzzy Apriori.
Tid Mining Algorithm with Reduced Computational Time”,Applied Soft Computing, 5, 2. SCI)2. 7. Hong, T. P., Lin, K. Y., and Wang, S. L., "Mining Fuzzy Sequential Patterns from Transactions", International Journal of Soft Computing, Online: September 1.
Paper: Vol. 1. 0, No. August 2. 00. 6, 9. SCI)2. 8. Hong, T.
P., Chiang, M. J., and Wang, S. L., "Mining Weighted Linguistic Browsing Patterns from Log Data on Web Servers", GESTS International Transactions on Computer Science and Engineering, Vol. No. 1, pp. 5. 3- 6.
Hong, T. P., Chiang, M. J., and Wang, S. L., "Data Mining with Linguistic Thresholds", accepted to International Journal of Contempary Mathematical Science, 2. Hong, T. P., Chiang, M. J., and Wang, S. L., “Fuzzy Weighted Data Mining from Quantitative Transactions with Linguistic Minimum Supports and Confidences,” International Journal of Fuzzy Systems, Vol. No. 4, December 2. SCI)3. 1. Hong, T. P., Wang, T. T., and Wang, S.
L., “Mining Fuzzy b- certain and b- possible Rules from Quantative Data Based on the Variable Precision Rough Set Model”, Expert Systems with Applications, Vol. No. 1, January 2. SCI, EI)3. 2. Wang, S. L., Parikh, B., and Jafari, A., “Hiding Informative Association Rule Sets”, Expert Systems with Applications, Volume 3. Issue 2, August 2. Online: http: //dx. SCI, EI)3. 3. Wang, S.
L., Huang, K. W., Wang, T. C., and Hong, T. P., “Maintenance of Informative Rule Sets for Predictions”, International Journal of Intelligent Data Analysis, Vol. No. 3, June 2. 00.
SCI, EI)3. 4. Wang, S. L., Patel, D., Jafari, A., and Hong, T.
P., “Hiding Collaborative Recommendation Association Rule”, Applied Intelligence, Volume 2. August 2. 00. 7, 6. Online: http: //www. SCI, EI)3. 5. Hong, T.
P., Lin, C. E., Lin, J. H., and Wang, S. L., “Learning Cross- Level and Possible- Level Rules by Rough Sets”, Expert Systems with Applications, Volume 3. SCI, EI)3. 6. Wang, S. L., Maskey, R., Jafari, A., and Hong, T.
P., “Efficient Sanitization of Informative Association Rules”, Expert Systems with Applications, Volume 3. July 2. 00. 8, 4. Online: http: //dx. SCI, EI)3. 7. Hong, T. P., Chiang, M. J., and Wang, S.
L., “Mining Fuzzy Weighted Browsing Patterns from Time Duration and with Linguistic Thresholds”, American Journal of Applied Sciences, 5 (1. EI)3. 8. Hong, T. P., Horng, C. Y., Wu, C. H., and Wang, S. L., “An Improved Data Mining Approach Using Predictive Itemsets”, Expert Systems with Applications, Volume 3. January 2. 00. 9, 7.
SCI, EI)3. 9. Wang, S. L., “Maintenance of Sanitizing Informative Association Rules”, Expert Systems with Applications, Volume 3.
March 2. 00. 9, 4. Online: http: //dx. SCI, EI)4. 0. Hong, T. P., Liou, Y. L., and Wang, S.
L., “Fuzzy Rough Sets with Hierarchical Quantitative Attributes”, Expert Systems with Applications, Volume 3. Number 3. P2, April, 2. Online: http: //dx. SCI, EI)4. 1. Hong, T. P., Wu, Y. Y., and Wang, S. L., “An Effective Mining Approach for Up- to- date Patterns”, Expert Systems with Applications, 2. SCI, EI)4. 2. Hong, T.
P., Tung, Y. F., Wang, S. L.,and Wu, Y. L., “An ACS- based Framework for Fuzzy Data Mining”, Expert Systems with Applications, 2. SCI, EI)4. 3. Wang, S. L., Lo, W. S., and Hong, T. P., “Top- Down Discovery of Cross- Level Web Browsing Sequences on Taxonomy”, International Journal of Computer Science and Knowledge Engineering, Volume 4 (2), 2.
EI)4. 4. Wang, S. L., Lai, T. Z., Hong, T. P., and Wu, Y. L., “Hiding Collaborative Recommendation Association Rules on Horizontally Partitioned Data”, Intelligent Data Analysis, Vol. No. 1, 2. 01. 0, 4. SCI, EI)4. 5. Wang, S.
L., Chen, J. D., Stirpe, P. A., Hong, T. P., “Risk- neutral evaluation of information security investment on data centers”, Journal of Intelligent Information Systems, Volume 3. Issue 3, 2. 01. 1, page 3. Online: Nov 1. 0, 2. SCI, EI)4. 6. Hong, T.
P., Tung, Y. F., Wang, S. L.,and Wu, Y. L., Wu, M.
T., “A Multi- level Ant- colony Mining Algorithm for Membership Functions”, Information Sciences, Voume 1. No. 1, January, 2.
SCI, EI) 4. 7. Hong, T.