Aims

BDCV publishes open-access original research on data science and computer modeling. Computational algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered.The goal of BDCV is to provide a platform for academicians all over the world to promote, share, and discuss various new issues and developments in big data technologies and applications, data analysis, data mining, information systems, pattern recognition, soft computing, computer vision, image and video processing, data envelopment analysis, and related topics. Computational modeling and case studies in the mathematic, financial and social sciences are also welcomed .

Scopes

• Data Acquisition, Cleaning, Distribution, and Best Practices
• Machine Learning and Data Science
• Data Protection, Privacy, and Policy 
• Distributed, Massive, and Cloud Computing Platforms
• Big Data Technologies and Infrastructures
• Big Data Mining
• Big data performance analysis
• Big data management
• Big data and financial sciences
• Big Data Applications
• Big Data Visualization
• Data Envelopment Analysis (DEA)
• Web Mining and Analytics
• Social Web
• Signal and Image Processing
• Computer Vision
• Image and Video Analysis
• Algorithms and Computation Theory
• Fuzzy Computing
• Fuzzy Control and Intelligent Systems
• Fuzzy Decision Making
• Human-Computer Interaction
• Bioinformatics
• Other Related Topics