World Conference on Big Data aims to bring together academicians, researchers, engineers, system analysts, software developers, graduate and undergraduate students with government and non-government organizations to share and discuss both theoretical and practical knowledge about  cloud computing turning computing and software into commodity services, everything as a service in other words, it leads to not only a technology revolution but also a business revolution. Insights and impacts of various types of services (infrastructure as a service, platform as a service, software as a service, and business process as a service) have to be re-examined.

The scope of the conference includes, but is not limited to; the following major topics;

  • ALGORITHMS FOR BIG DATA:
        - Data and Information Fusion
        - Genetic Algorithms
        - Machine Learning
        - Natural Language Processing
        - Signal Processing
        - Scalable Algorithms
        - Simulation and Modeling
        - Data-Intensive Computing
        - Parallel Algorithms (including the map-reduce paradigm)
        - Testing Methods
        - Dimensionality Reduction Techniques
        - Multidimensional Big Data
        - Multilinear Subspace Learning
        - Sampling Methodologies
        - Streaming
  • BIG DATA FUNDAMENTALS:
        - Novel Computational Methodologies
        - Algorithms for Enhancing Data Quality
        - Models and Frameworks for Big Data
        - Graph Algorithms and Big Data
        - Computational Science
        - Computational Intelligence
  • INFRASTRUCTURES FOR BIG DATA:
        - Cloud Based Infrastructures (applications, storage & computing resources)
        - Grid and Stream Computing for Big Data
        - High Performance Computing, Including Parallel & Distributed
        Processing – Autonomic Computing
        - Cyber-infrastructures and System Architectures
        - Programming Models and Environments to Support Big Data
        - Software and Tools for Big Data
        - Big Data Open Platforms
        - Emerging Architectural Frameworks for Big Data
        - Paradigms and Models for Big Data beyond Hadoop/MapReduce, …
  • BIG DATA MANAGEMENT AND FRAMEWORKS:
        - Database and Web Applications
        - Federated Database Systems
        - Distributed Database Systems
        - Distributed File Systems
        - Distributed Storage Systems
        - Knowledge Management and Engineering
        - Massively Parallel Processing (MPP) Databases
        - Novel Data Models
        - Data Preservation and Provenance
        - Data Protection Methods
        - Data Integrity and Privacy Standards and Policies
        - Data Fusion and Integration
        - Data Science
        - Novel Data Management Methods
        - Crowdsourcing
        - Stream Data Management
        - Scientific Data Management
  • BIG DATA SEARCH & MINING METHODS:
        - Multimedia and Big Data
        - Data Mining
        - Social Networks
        - Data Science
        - Web Search and Information Mining
        - Scalable Search Architectures
        - Cleaning Big Data (noise reduction), Acquisition & Integration
        - Visualization Methods for Search
        - Time Series Analysis
        - Recommendation Systems
        - Graph Mining and Other Similar Technologies
  • SECURITY & PRIVACY IN THE ERA OF BIG DATA:
        - Cryptography
        - Threat Detection Using Big Data Analytics
        - Privacy Threats of Big Data
        - Privacy Preserving Big Data Collection
        - Intrusion Detection
        - Socio-economical Aspect of Big Data in the Context of Privacy and Security
  • APPLICATIONS OF BIG DATA:
        - Big Data as a Service
        - Big Data Analytics in e-Government and Society
        - Applications in Science, Engineering, Healthcare, Visualization, Business, Education, Security, Humanities, Bioinformatics, Health Informatics, Medicine, Finance, Law, Transportation, Retailing, Telecommunication, all Search-based applications, …
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