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Machine Learning and Data Analytics Symposium - MLDAS 2020

The Seventh Machine Learning and Data Analytics (MLDAS) Symposium has been postponed and will be held in the Fall of 2020 in Doha, Qatar.

We will be announcing the symposium dates and the submission deadline by the end of April 2020.

For the new Fall dates of MLDAS 2020, we would like to invite authors to send in contributed submissions - FULL papers or POSITION papers - on any of the topics of interest of the symposium: artificial intelligence, machine learning, data mining, decision systems, applied machine learning techniques, data analytics solutions.

Background and Objectives

The purpose of this symposium is to bring together researchers, practitioners, students, and industry experts in the fields of machine learning, data mining, and related areas to present recent advances, to discuss open research questions, and to bridge the gap between data analytics research and industry needs on certain concrete problems.

The MLDAS symposium will serve as a platform for exchange of ideas, identification of important and challenging applications, and discovery of possible synergies.

We will address the topics of interest through both invited and contributed talks describing (1) research ideas, (2) new challenges, (3) mature research and (4) practical results. The symposium program will consist of presentations by invited speakers from both industry and academia, and by the authors of the papers submitted to the symposium. In addition, we will have a panel discussion to identify important research problems and applications.

Organization

MLDAS is organized by the Qatar Computing Research Institute (QCRI) and by The Boeing Company.

Chairs

MLDAS is co-chaired by Sanjay Chawla (QCRI) and Dragos Margineantu (Boeing Research & Technology).
Please click here to contact the MLDAS co-chairs.

Contacts

To contact the MLDAS symposium organizers on any matter, please check this page.

Registration for MLDAS 2020 is open. Researchers, students, and practitioners interested in attending the symposium, should register via the registration page.