2022 11th International Conference on Knowledge Discovery
December 16-18 | City University of Macau, Macau S.A.R, China
2022 11th International Conference on Knowledge Discovery (ICKD
2022) will be held in
City University of Macau, Macau S.A.R, Chinaduring December 16-18, 2022.
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 2022 is sponsored by City University of Macau, Macau S.A.R, China. The conference 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.
Due to the unpredictable and unstable situation of the pandemic, it's acceptable for those participants who can't attend the conference because of the travel restrictions to present their papers online with reduced registration fee. In the meanwhile, the organizing committee will monitor the situation and the conference may be switched to fully virtual mode if necessary.
|Submission Deadline||July 25, 2022|
|Acceptance Notification||August 20, 2022|
|Registration Deadline||September 5, 2022|
|Conference Dates||December 16-18, 2022|
Please submit your full paper via iConference submission system using the following link: 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 the Conference Proceedings, which will be indexed by EI Compendex, Scopus, and other major databases.
Some extended papers will be recommended 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.
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