Welcome to ICKD 2019 | Download CFP

2019 8th International Conference on Knowledge Discovery (ICKD 2019) will be held in Phuket, Thailand during November 17-19, 2019. 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 is co-organized by International Journal of Knowledge Engineering and International Journal of Machine Learning and Computing. The conference also serves to bring authors and editors of IJKE and IJMLC together to communicate face to face and discuss chances for possible cooperation and hot topics in the interdisciplinary areas..

Best Presentation Award: Selection of the best presentation will be made at the conference based on both the technical content and oral 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 IJMLC. Submissions will be reviewed by the conference committees and IJMLC Editorial Board, and accepted papers will be published in International Journal of Machine Learning and Computing, which will be indexed by Google Scholar, Crossref, ProQuest, EI (INSPEC, IET), Scopus, etc.

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

Conference Tracks

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