Welcome to ICKD 2020

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2020 9th International Conference on Knowledge Discovery (ICKD 2020) will be held in City University of Macau during November 21-23, 2020. 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 2020 is co-organized by City University of Macau, International Journal of Knowledge Engineering, and International Journal of Machine Learning and Computing. The conference also serves to bring authors and readers of IJKE together to communicate face to face and discuss chances for possible cooperation and hot topics in the interdisciplinary areas.

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Best Oral Presentation Award: Selection of the best oral presentation will be made at the conference based on both the technical content and performance of presentation. The winner will be chosen by the session chair in consultation with the conference co-chairs.

Publication

ICKD offers the following two journals for publication of your full papers:

Option 1: Publication in IJKE. Submissions will be reviewed by the conference committees and IJKE Editorial Board, and accepted papers will be published in International Journal of Knowledge Engineering, which will be indexed by Google Scholar, Crossref, ProQuest, etc.

Option 2:  Publication in Conference Proceedings. Submissions will be reviewed by the conference technical committees, and accepted papers will be published in International Conference Proceedings, which will be indexed by Scopus, EI, Google Scholar, and other major databases.

For those who're NOT looking to publish their papers, it's acceptable to submit your abstracts to the conference just for oral presentation.

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