Welcome to ICKD

Important Notice: 2024 12th International Conference on Knowledge Discovery (ICKD 2024) which is planed to be held in Macau S.A.R, China during August 19-21, 2024 is cancelled. We're sorry for possible inconvenience may cause to you. Should you need any assistance, please feel free to contact conference secretary.

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.

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 ijke@ejournal.net and include ICKD 2024 in the subject of your email.
  

 

Scope of Conference

Authors are invited to submit full papers describing original research work in areas including, but not limited to:

Novel Algorithms
Association Rules
Knowledge engineering and management
Classification and Ranking
Clustering
Text analysis and text understanding
Machine Learning
Privacy Preserving Data Mining
Statistical Methods
Parallel and Distributed Data Mining
Interactive and Online Mining
KDD Process and Human Interaction
Knowledge Management