Basic Information

  • Welcome
    The 2019 International Conference on Data Mining and Machine Learning is a non-profit conference. It is organized by IETI and IDSAI and UJ. As one of the leading International conference, it aims at providing an innovative exchange platform for students, faculties, and researchers from all over the world.
  • Paper Review
    All submissions to the ICDMML will be sent to at least 2 reviewers and evaluated based on originality, technical and research content, relevance to conference, contributions, and readability. The full paper submissions will be chosen based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program.
  • Important Dates
  • Registration Deadline: March 29th 2019 April 20 2019
    Conference Date: April 28-30 2019
  • Publishing
    The accepted papers will be published by ACM International Conference Proceeding Series. The ISBN number assigned to ICDMML 2019 is 978-1-4503-6090-6.
  • Indexes
    ACM International Conference Proceeding Series is the source of:
Ei Compendex, Scopus, Scimago.
  • Note
    Organizer and Publisher need to check the quality of the papers, and they can not guarantee that all the conference articles will be published. Publisher sends all of its published materials to the indexing services. But please note that DBLP, Scopus, Engineering Village, EI Compendex, CPCI(Web of Science), etc., are all entirely separate entities from Publisher. As such, we cannot guarantee that a certain proceedings volume content will pass their review process – or, even if it does pass the review process, when exactly that volume will be indexed. They all have their own guidelines for acceptance, independent of Publisher's influence.
  • Highlights
    ① Learn from Keynote Speakers
    ② Build social networks with international colleagues
    ③ Meet Scopus / ISI international journal's Editors
    ④ Introduce your latest research
    ⑤ Get direct reviews from international peers
    ⑥ Understand peer progress and broaden your horizons / inspire
    ⑦ Have the opportunity to work with new academics in your field
    ⑧ Have the opportunity to publish in the Scopus / ISI journals
    ⑨ Participant can publish 1 free article in international journal
    ⑩ Visit and learn about local customs and culture
Dates Submission Registration

Keynote Speakers 2019


Prof. Dr. Michael E. Auer

Vice President of Carinthia University of Applied Sciences, Austria

Personal link : IDSAI Member

Editor

International Journal of Online and Biomedical Engineering (ESCI, Scopus, Scimago, Q4), Editor-in-Chief


Prof. Dr. Rita Yi Man Li

Director of Sustainable Real Estate Research Center, Hong Kong Shue Yan University, Hong Kong

Director of HKSYU Real Estate and Economics Research Lab

Personal link : IDSAI Member

Editor

International Journal of Sustainable Real Estate and Construction Economics (Inderscience), Editor-in-Chief
Sustainability (SSCI, SCI, Scopus, Scimago, Q2), Special Issue Guest Editor


Prof. Dr. Xiao-Guang Yue

College Consultant, Rattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin, Thailand

Personal link : IDSAI Member

Editor

Journal of Mechanical Engineering Research and Developments (Scopus, Scimago, Q4), Managing Editor
Journal of Green Engineering (Scopus, Scimago, Q4), Co-Editor-in-Chief
Sustainability (SSCI, SCI, Scopus, Scimago, Q2), Special Issue Guest Editor
Journal of Risk and Financial Management(ESCI), Editorial Member and Special Issue Guest Editor

ICDMML 2019 Themes

Call for Papers

Artificial Intelligence

Artificial intelligence is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents".

Data Mining

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.[1] It is an essential process where intelligent methods are applied to extract data patterns.

Machine Learning

Machine learning is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

Why Join our Conference?

1500+

People presented their latest research

by IETI Conference Proceedings or Journals.

200+

International Invited / Keynote Speakers

shared their opinions and views for IETI activities.

100+

ISI / Scopus / Ei / CNKI / Google Scholar indexed

Journals / Proceedings for Global researchers.

70+

Regions/Countries' Authors / Participants

joined IETI events from year 2015 till now.

Organizer Tier


to be organizer

Diamond Tier


to be sponsor

Platinum Tier


to be sponsor

Gold Tier


to be sponsor

Silver Tier


to be sponsor

Technical Supporter Tier


to be supporter

Media Supporter Tier


to be supporter

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2019 International Conference on Data Mining and Machine Learning