BDIP 2021 - International Workshop on Big Data and Information Processing

WBDIP 2021 will publish original, high-quality papers related to Big Data and Information Processing, with an emphasis on practical yet principled novel models of Information Processing , algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance.
Original papers focusing on new algorithmic approaches are particularly encouraged. Application-oriented papers that make innovative technical contributions to research are welcome. papers on new and emerging topics are also welcome.
Topics covered include but are not limited to:
Big Data Algorithms, Applications and Services
Big Data Analytics and Machine and Deep Learning
Big Data Applications
Big Data Architectures
Big Data as a Service
Big Data Education
Big Data for Social Networking
Big Data Management
Big Data Mining and Analytics
Big Data Models and Algorithms
Big Data Processing and Querying
Big Data Search, Mining, and Visualization
Big Data Security, Privacy and Trust
Big Data Visualization
Cloud and Big Data for Internet of Things (IoT)
Energy-efficient Computing for Big Data
Experiences with Big Data Project Deployments
High Performance/Parallel Computing Platforms for Big Data
New Computational Models for Big Data
New Programming Models for Big Data beyond Hadoop/MapReduce
Novel Theoretical Models for Big Data
Programming Languages, Models, and Runtimes
Software and tools for big data management
Software Systems to Support Big Data Computing
Techniques and Algorithms for Real-Time Big Data Analytics