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Machine Learning and Data Analytics Symposium - MLDAS 2016

Building on the success of MLDAS 2015 and MLDAS 2014, The Third Machine Learning and Data Analytics (MLDAS) Symposium, will be held on March 14-15, 2016 at the Qatar National Convention Centre in Doha, Qatar.

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: machine learning, data mining, applied machine learning techniques, data analytics solutions.

Submissions are due by Sunday, February 7, 2016.
Please check out the submissions page here

Registration for MLDAS 2016 is now open.

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 of 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.

Venue

The MLDAS symposium will take place on March 14 and March 15, 2016.
More details about MLDAS local information are available here.

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), Dragos Margineantu (Boeing Research & Technology), Mohammed Zaki (RPI), and Jan Wei Pan (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 2016 is open.