ICDMBDDDS 2027: International Conference on Data Mining, Big Data, Database and Data System

ICDMBDDDS 2027: International Conference on Data Mining, Big Data, Database and Data System brings together experts to share advances and practices in data mining, big data analytics, and modern data systems.

Key Topics

• Visualization analytics for big data
• Information retrieval and database systems
• Web mining
• Big data economics
• Big data for business model innovation
• Big data in government management models and practices
• Parallel, distributed and grid data management
• Distributed, parallel, P2P, and grid-based databases
• Privacy, trust and security in databases
• Scientific and statistical databases
• Workflow management and databases
• Temporal, spatial, and high dimensional databases
• Big data in mobile and pervasive computing
• Mobile data and information
• Explorative and visual data mining
• Multimedia mining (audio/video)
• Cloud computing techniques for big data
• Security data mining
• Social science mining
• Engineering mining
• Sensor and mobile data management
• Machine learning based on big data
• Scientific applications of big data
• Business/corporate/industrial data mining
• Data mining, clustering and knowledge discovery
• Big data for enterprise transformation
• Big data search and mining
• XML and semi-structured databases
• Big data architectures
• Very large data bases
• Big data analytics and metrics
• Medicine data mining
• Collaborative threat detection using big data analytics
• Security applications of big data
• Big data storage, processing and transformation
• Representation formats for multimedia big data
• Military data mining
• Distributed and grid based data mining
• Mining text and semi-structured data
• Data fusion and integration
• Databases systems and applications
• Databases and information retrieval
• Data mining algorithms
• Big data in smart planet solutions
• Big data for enterprise
• Management issues of social network enabled big data
• Data mining in logistics
• Data-mining grids
• Models and languages for big data protection
• User interfaces to databases and information systems
• Database and information system architecture and performance
• Multi-databases and database federation XML and databases
• Data mining foundations
• Algorithms and systems for big data search

Who should Attend

• Government data analysts
• Security and privacy specialists
• Academic researchers
• Big data consultants
• Enterprise IT managers
• Database administrators
• Software engineers in data technologies
• Business intelligence professionals
• Cloud computing practitioners
• Data scientists