2021 3rd International Conference on Big Data Engineering and Technology will be held during June 25-27, 2021 in Singapore.
The conference is soliciting state-of-the-art research papers in the following areas of interest but not limited to:
- Big Data novel theory, algorithm and applications
- Big Data standards
- Big Data Infrastructure, MapReduce and Cloud Computing
- Big Data visualization
- Big Data curation and management
- Big Data semantics, scientific discovery and intelligence
- Big Data performance analysis and large-scale deployment
- Security, privacy, trust, and legal issues to big data
- Big Data vs Big Business and Big Industry
- Large data stream processing on cloud
- NoSQL data stores and DB scalability
- Big Data placement, scheduling, and optimization
- Distributed file systems for Big Data
- MapReduce for Big Data processing, resource scheduling and SLA
- Performance characterization, evaluation and optimization
- Simulation and debugging systems and tools for MapReduce and Big Data
- Volume, Velocity, Variety, Value and Veracity of Big Data
- Multiple source data processing and integration with MapReduce
- Storage and computation management of Big Data
- Large-scale big data workflow management
- Mobility and big data
- Sensor network, social network and big data
- Data Visualization and Visual Analytics
- Big Data Algorithms, Applications and Services
- Big Data Mining and Analytics
- Big Data Processing and Querying
- Algorithmic, experimental, prototyping and implementation
- Natural Language Processing in Big Texts
- Biomedical imaging pre-processing and Analysis
- Hardware and Software solutions for Big Data Searching, Storing and Management
- Structured and Unstructured Data/Text/Web Mining
- Deep Learning architecture, representations, unsupervised and supervised algorithms
- Scalable computational intelligence tools
- Novel Computational Intelligence approaches for data analysis
- Evolutionary and Bio-inspired approaches for Big Data analysis
- New domains and novel applications related to Big Data technologies
