2018 7th International Conference on Knowledge Discovery
November 24-26, 2018, Hong Kong
Option 1: Publication in IJKE. Submissions will be reviewed by the conference committees and journal 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
International Journal of
Machine Learning and Computing,
which will be indexed by Google
Scholar, Crossref, ProQuest, EI (INSPEC, IET), Scopus (Since
For those who're NOT looking to publish their papers, it's acceptable to submit your abstracts to the conference, which will be sent to at least two techinical committees for a brief review, and it will take about 10 working days. Follow the Abstract Template when preparing your abstract.
Please follow the format when preparing your paper. Full paper submissions should be with at least 4 pages.
For option 1. please use IJKE Template (.doc)
For option 2. please use IJMLC Template (.doc)
Submission Deadline: October 10, 2018
Prospective authors are kindly invited to submit full text papers including results, tables, figures and references. Full text papers (.pdf, .doc) will be accepted via EasyChair submission system.
All submissions will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. Submissions will be chosen based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program.
All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.
Publication Ethics - Penalty against Plagiarism
We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.