2024 12th International Conference on Knowledge Discovery
August 19-21, 2024 | Macau S.A.R, China
Important Notice: 2024 12th International Conference on Knowledge Discovery (ICKD 2024) is postponed to August 19-21, 2024.
2024 12th International Conference on Knowledge Discovery (ICKD
2024) will be held in
Macau S.A.R, China during August 19-21, 2024, sponsored
by Faculty of Business - City University of Macau.
It aims to provide a forum for researchers, practitioners, and
professionals from both the industry and the academia to share
their newest research findings and results.
ICKD 2024 calls for high-quality, original research papers in the theory and practice of knowledge engineering. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in knowledge management and engineering technologies.
It's acceptable for those participants who can't travel to attend conference onsite to present their papers online with reduced registration fee.
|March 30, 2024
|April 25, 2024
|May 10, 2024
|August 19-21, 2024
Please submit your full paper via submission system using the following link: Zmeeting Electronic Submission System; ( .pdf). Please submit only abstract if you plan on just presenting your paper without publication
Submissions will be peer reviewed by conference committees, and accepted papers will be published in Conference Proceedings, which will be submitted for indexing by EI Compendex, Scopus, and other major databases.
Authors are encouraged to submit your extended papers to International Journal of Knowledge Engineering for review, and accepted papers will be published in regular issues of IJKE free of charge, which will be indexed by Google Scholar, Crossref, ProQuest, etc. Please send both your original paper and extended paper to IJKE through email@example.com and include ICKD 2024 in the subject of your email.
Authors are invited to submit full papers describing original research work in areas including, but not limited to:
Knowledge engineering and management
Classification and Ranking
Text analysis and text understanding
Privacy Preserving Data Mining
Parallel and Distributed Data Mining
Interactive and Online Mining
KDD Process and Human Interaction