Dr. Chun-Hao Chen
Department of Computer Science and Information Engineering
National Kaohsiung University of Science and Technology, Taiwan
E-mail: chench@nkust.edu.tw


Dr. Bay Vo
Faculty of Information Technology
Ho Chi Minh City University of Technology, Vietnam
E-mail: bayvodinh@gmail.com


Dr. Tzung-Pei Hong
Department of Computer Science and Information Engineering
National University of Kaohsiung, Taiwan
E-mail: tphong@nuk.edu.tw

Over the past few years, research and development in data mining has made great progress. Many successful applications have been reported in journals and conferences. In general, data mining systems typically help businesses to expose previously unknown patterns in their databases. It has now been recognized that mining for information and knowledge from large databases and documents will be the next revolution in database systems. It is considered very important to major cost savings and potential revenue increase with immediate applications in business, decision systems, information management, communication, scientific research and technology development. Advanced data mining techniques have recently been developed rapidly. More and more sophisticated techniques, such as variants of association rules and sequent patterns, fuzzy data mining, genetic algorithms applied to data mining, utility mining etc. have been proposed and many of them have already been deployed in many real-world applications. The major goal of this special session is to bring together the researchers in the data mining field to illustrate its pressing actual needs, demonstrate challenging research issues, and exchange the state-of-the-art research and development. The scope of the ADMTA 2019 includes, but is not limited to the following topics:

Paper submission (1^st round): March 31, 2023 (Closed)
Paper submission (2^nd round): April 30, 2023 (closed)
Notification of acceptance: May 30, 2023
Camera-ready papers: June 22, 2023
Registration & payment: June 22, 2023
Conference date: July 24-26, 2023