Topic 1: Machine Learning
Deep and intensive learning
Pattern recognition and classification of networks
Machine learning for network slicing optimization
Machine learning 5G system
Machine learning for user behavior prediction
New and innovative machine learning methods
Optimize machine learning methods
Performance analysis of machine learning algorithms
Experimental evaluation of machine learning
Data mining in heterogeneous networks
Machine learning multimedia
Iot machine learning
Machine Learning security and protection
Distributed and distributed machine learning algorithms, etc
Theme two: Big Data
Big data analysis
Data science models and methods
Big data algorithms
Big data search and information retrieval technology
Big Data acquisition, integration, cleaning and best practices
Big data and deep learning
Scalable computational models, theories and algorithms
Memory systems and platforms for big data analytics
Big data and high performance computing
Big data network infrastructure
Performance evaluation report of big data system
Resource management methods for big data systems
Internet of Things big data applications
Mobile applications of big data
Big data applications for smart cities
Scalability of big data systems
Big data privacy and security, etc