SCOPE
2nd International Conference on Big Data and Machine Learning (BDML 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Big Data and Machine Learning.
PAPER SUBMISSION
Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms
TOPICS OF INTEREST
Big Data
Big Data Techniques, models and algorithms
Big Data Infrastructure and platform
Big Data Search and Mining
Big Data Security, Privacy and Trust
Big Data Applications, Bioinformatics, Multimedia etc
Big Data Tools and systems
Big Data Mining
Big Data Management
Cloud and grid computing for Big Data
Machine Learning and AI for Big Data
Big Data Analytics and Social Media
5G and Networks for Big Data
Machine Learning
Machine Learning Applications
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Deep Learning
OTHER CONFERENCES
PAST EVENTS
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.
Alex Romanova
Moscow State University,
Russia
Anitha Premkumar
Presidency University,India
Nilamadhaba Mohapatra
Zeotap, India
Omar Otoniel Flores Cortez
Universidad Tecnologica de El Salvador, El Salvador
Oladotun Aluko
Novosibirsk State University,
Russia
Ahmed Alruwaili LaTrobe University,Australia
Wenxi Gao
University of Toronto,Canada
Debjani Chakraborty
IIT Kharagpur, India