Scope and Topics


IEEE BigDataSE is an international forum for presenting and discussing emerging ideas and trends in Big Data from both the research community as well as the industry. Topics of interest include, but are not limited to:

Systems, Models and Algorithms

  • Big Data novel theory, algorithm and applications
  • Big Data standards
  • Big Data mining and analytics
  • 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
  • Large incremental datasets on cloud
  • Distributed and federated datasets
  • 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
  • Big data applications