Contributed papers are solicited describing original works in big data engineering and related technologies. Topics and technical areas of interest include but are not limited to the following:
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