Tzung-Pei Hong

Tzung-Pei Hong received his B.S. degree in chemical engineering from National Taiwan University in 1985, and his Ph.D. degree in computer science and information engineering from National Chiao-Tung University in 1992. He was a faculty at the Department of Computer Science in Chung-Hua Polytechnic Institute from 1992 to 1994, and at the Department of Information Management in I-Shou University from 1994 to 2001. Since 2001, he has served as Director of Library and Computing Center, Dean of Academic Affair, and Vice President of National University of Kaohsiung. He is currently a distinguished professor at the Department of Electrical Engineering and the department of Computer Science and Information Engineering in National University of Kaohsiung. His current research interests include machine learning, data mining, soft computing, management information systems, WWW applications and has published more than 300 technical papers.

Publications

An Efficient Pruning and Filtering Strategy to Mine Partial Periodic Patterns from a Sequence of Event Sets
An Efficient Pruning and Filtering Strategy to Mine Partial Periodic Patterns from a Sequence of Event Sets
Kung-Jiuan Yang, Tzung-Pei Hong, Yuh-Min Chen, Guo-Cheng Lan. © 2014. 21 pages.
Partial periodic patterns are commonly seen in real-world applications. The major problem of mining partial periodic patterns is the efficiency problem due to a huge set of...
A Three-Level Multiple-Agent Early Warning Mechanism for Preventing Loss of Customers in Fashion Supply Chains
A Three-Level Multiple-Agent Early Warning Mechanism for Preventing Loss of Customers in Fashion Supply Chains
Wei-Shuo Lo, Tzung-Pei Hong. © 2013. 12 pages.
The fashion industry is experiencing rapid changes in many areas, including the supply chain. Typical quick response (QR) systems have been broadly used in the fashion industry...
A Three-Level Multiple-Agent Early Warning Mechanism for Preventing Loss of Customers in Fashion Supply Chains
A Three-Level Multiple-Agent Early Warning Mechanism for Preventing Loss of Customers in Fashion Supply Chains
Wei-Shuo Lo, Tzung-Pei Hong. © 2013. 12 pages.
The fashion industry is experiencing rapid changes in many areas, including the supply chain. Typical quick response (QR) systems have been broadly used in the fashion industry...
Anonymous Spatial Query on Non-Uniform Data
Anonymous Spatial Query on Non-Uniform Data
Shyue-Liang Wang, Chung-Yi Chen, I-Hsien Ting, Tzung-Pei Hong. © 2013. 18 pages.
Location and local service is one of the hottest bunches of applications in recent years, due to the proliferation of Global Position System (GPS) and mobile web search...
A Three-Level Multiple-Agent Early Warning Mechanism for Preventing Loss of Customers in Fashion Supply Chains
A Three-Level Multiple-Agent Early Warning Mechanism for Preventing Loss of Customers in Fashion Supply Chains
Wei-Shuo Lo, Tzung-Pei Hong. © 2012. 12 pages.
The fashion industry is experiencing rapid changes in many areas, including the supply chain. Typical quick response (QR) systems have been broadly used in the fashion industry...
Social Network Mining, Analysis, and Research Trends: Techniques and Applications
Social Network Mining, Analysis, and Research Trends: Techniques and Applications
I-Hsien Ting, Tzung-Pei Hong, Leon Shyue-Liang Wang. © 2012. 501 pages.
Social network analysis dates back to the early 20th century, with initial studies focusing on small group behavior from a sociological perspective. The emergence of the Internet...
Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies
Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies
Leon Shyue-Liang Wang, Tzung-Pei Hong. © 2010. 516 pages.
As the applications of data mining, the non-trivial extraction of implicit information in a data set, have expanded in recent years, so has the need for techniques that are...
Maintenance of Association Rules Using Pre-Large Itemsets
Maintenance of Association Rules Using Pre-Large Itemsets
Tzung-Pei Hong, Ching-Yao Wang. © 2007. 17 pages.
Developing an efficient mining algorithm that can incrementally maintain discovered information as a database grows is quite important in the field of data mining. In the past...