SCOPE

2^nd 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.

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