Conference overview
BDEE 2019 accepted full papers will be published by special issue International Journal of Information and Education Technology, with ISSN: 2010-3689, indexed by Scopus (Since 2019), EI(INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref, etc.
→Submit Way:
Submit via i-Conference Global System: http://confsys.iconf.org/submission/bdee2019
You need an I-conf account, if you don't have, you can register first.
Any questions, please mail: bdee@sciei.org
→Call for Paperl
Track 1: AI, cognitive science, big data and analytics in professional fields, such as cyber security, accounting, law, medicine, education, etc.
Track 2: Big Data Analytics curriculum design, development and delivery
Track 3: Big Data as a business strategy and source of innovation
Track 4: Advanced courses on decision analytics, modelling, algorithms, machine learning and visual analytics
Track 5: Ethics, Trust and Governance in AI, Data and Analytics
Track 6: AI and Big Data Analytics on industrial engineering programs
Track 7: Approaches to teaching and assessing big data, Artificial Intelligence
Track 8: Regulatory and data compliance issues with Big Data
Track 9: Software for teaching AI, BDA and cognitive science
→Submit Way:
Submit via i-Conference Global System: http://confsys.iconf.org/submission/bdee2019
You need an I-conf account, if you don't have, you can register first.
Any questions, please mail: bdee@sciei.org
→Call for Paperl
Track 1: AI, cognitive science, big data and analytics in professional fields, such as cyber security, accounting, law, medicine, education, etc.
Track 2: Big Data Analytics curriculum design, development and delivery
Track 3: Big Data as a business strategy and source of innovation
Track 4: Advanced courses on decision analytics, modelling, algorithms, machine learning and visual analytics
Track 5: Ethics, Trust and Governance in AI, Data and Analytics
Track 6: AI and Big Data Analytics on industrial engineering programs
Track 7: Approaches to teaching and assessing big data, Artificial Intelligence
Track 8: Regulatory and data compliance issues with Big Data
Track 9: Software for teaching AI, BDA and cognitive science