Topics

Original unpublished manuscripts, and not currently under review in another journal or conference, are solicited in relevant areas including, but not limited to, the following:

    Big Data Analytics
    Storage, Data, and Analytics Clouds
    Federal Big Data Cloud Configuration, Performance, and Capacity
    Big Data Search
    Big Data applications: Bioinformatics, Multimedia, Smartphones, etc.
    Data mining, graph mining and data science
    Cloud and grid computing for Big Data
    Hardware/software infrastructure for Big Data
    Role of Big Data issues in Pervasive Systems
    Data Mining Techniques in Wireless Sensor Networks
    Big Data Analytics applied to Smart Cities
    Role of Big Data issues in Vehicle Ad Hoc Networks ....
    Challenges and opportunities for the electric energy industry
    Big Data advantages for electric energy trading
    Big Data and Energy Systems Integration
    Big Data and Energy Efficiency
    Big Data and Electricity Demand Forecasting
    Big Data and Energy Management
    IA and information systems
    ICT integration in education
    Information and knowledge management
    Information hiding and watermarking
    Information technologies
    Information theory/coding
    Architectures for Big Data
    The role of Big Data in improving power system operation and protection
    Smart electrical grid with Big Data
    Image Processing and Reconstruction
    Signal Processing
    Video Processing and Reconstruction
    Architecture, management and process for data science
    Cloud computing and service data analysis
    Data warehouses, cloud architectures
    Mathematical Issues in Data Science
    Big Data Issues and Applications
    Large-scale databases
    High performance computing for data analytics
    Large scale optimization
    Data-driven Scientific Research
    Security, trust and risk in big data
    Privacy and protection standards and policies
    Data Quality
    Evaluation and Measurement in Data Science
    Big Data Mining and Knowledge Management
    Case Study of Data Science
    trends and innovative applications of Business Intelligence
    digitalization and big data
    benefits of predictive and advanced analytics
    BI organization – best practices and no-goes.
    Develop a foundation of business trust through data quality, security, privacy, and governance
    Make analytics and insight part of the DNA for every person, action, business process and decision
    Build and execute a world-class, disruptive data and analytics strategy
    Drive innovation through leading technologies – AI, machine learning, blockchain, Virtual/Augmented Reality, IoT and digital twins
    Modernize your infrastructure and adopt new architectural approaches to support digital transformation
    Exploit diverse datasets, diverse teams and diverse thinking to innovate business models
    Lead by enabling the right culture, people, skills and organization
    Accelerate the adoption of new skills, new roles, (such as Chief Data Officer), new ways of working and new data-driven thinking
     Big Data Science and Foundations
    Novel Theoretical Models for Big Data
    New Computational Models for Big Data 
     Data and Information Quality for Big Data
     New Data Standards
    Big Data Infrastructure
     Cloud/Grid/Stream Computing for Big Data 
    High Performance/Parallel Computing  Platforms for Big Data
    Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
    Energy-efficient Computing for Big Data
     Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data 
    Software Techniques and Architectures in Cloud/Grid/Stream Computing
    Big Data Open Platforms
     New Programming Models for Big Data beyond Hadoop/MapReduce, STORM 
    Software Systems to Support Big Data Computing
     Big Data Management
    Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
    Algorithms and Systems for Big DataSearch
    Distributed, and Peer-to-peer Search
    Big Data Search  Architectures, Scalability and Efficiency
    Data Acquisition, Integration, Cleaning,  and Best Practices
    Visualization Analytics for Big Data 
    Computational Modeling and Data Integration 
    Large-scale Recommendation Systems and Social Media Systems
    Cloud/Grid/Stream Data Mining- Big Velocity Data
    Link and Graph Mining
    Semantic-based Data Mining and Data Pre-processing
    Mobility and Big Data
    Multimedia and Multi-structured Data- Big Variety Data
    Big Data Search and Mining
     Social Web Search and Mining
     Web Search
    Algorithms and Systems for Big Data Search
     Distributed, and Peer-to-peer Search
    Big Data Search  Architectures, Scalability and Efficiency
    Data Acquisition, Integration, Cleaning,  and Best Practices
     Visualization Analytics for Big Data 
    Computational Modeling and Data Integration 
    Large-scale Recommendation Systems and Social Media Systems Cloud/Grid/StreamData Mining- Big Velocity Data
     Link and Graph Mining
    Semantic-based Data Mining and Data Pre-processing
     Mobility and Big Data
    Multimedia and Multi-structured Data- Big Variety Data
    Big Data Security, Privacy and Trust
    Intrusion Detection for Gigabit Networks 
    Anomaly and APT Detection in Very Large Scale Systems
    High Performance Cryptography 
    Visualizing Large Scale Security Data
    Threat Detection using Big Data Analytics
    Privacy Threats of Big Data
    Privacy Preserving Big Data Collection/Analytics
    HCI Challenges for Big Data Security & Privacy
    User Studies for any of the above
    Sociological Aspects of Big Data Privacy
    Trust management in IoT and other Big Data Systems
    Complex Big Data Applications  in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
    Big Data Analytics in Small Business Enterprises (SMEs),
    Big Data Analytics in Government, Public Sector and Society in GeneralReal-life Case Studies of Value Creation through Big Data Analytics
    Big Data as a Service
    Big Data Industry Standards
    Experiences with Big Data Project Deployments