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 focuses on techniques, applications, and management of data mining, big data, databases, and advanced data systems across industries, science, and technology.

Key Topics

• Business/Corporate/Industrial Data Mining
• Data-mining grids
• Data Mining in Logistics
• Data fusion and integration
• Explorative and visual data mining
• Web mining
• Medicine Data Mining
• Engineering Mining
• Security Data Mining
• Military Data Mining
• Multimedia mining (audio/video)
• Social Science Mining
• Distributed and grid based data mining
• Mining text and semi-structured data
• Data Mining, Clustering and Knowledge Discovery
• Data mining Applications
• Data mining Foundations
• Data Mining Algorithms
• Representation Formats for Multimedia Big Data
• Big Data Analytics and Metrics
• Cloud Computing Techniques for Big Data
• Big Data Architectures
• Big Data Management
• Big Data in Mobile and Pervasive Computing
• Big Data Search and Mining
• Models and Languages for Big Data Protection
• Collaborative Threat Detection using Big Data Analytics
• Management Issues of Social Network enabled Big Data
• Big Data in Smart Planet Solutions
• Security Applications of Big Data
• Distributed, and Peer-to-peer Search
• Algorithms and Systems for Big Data Search
• Machine learning based on Big Data
• Visualization Analytics for Big Data
• Scientific Applications of Big Data
• Big Data Economics/td> Big Data for Enterprise
• Big Data in Business Performance Management
• Big Data for Business Model Innovation
• Sensor and Mobile Data Management
• Big Data for Enterprise Transformation
• Parallel, Distributed and Grid Data Management
• Big Data Storage, Processing and Transformation
• Data mining Applications
• Big Data in Government Management Models and Practices
• Databases and Information Retrieval
• Data mining Foundations
• Privacy, Trust and Security in Databases
• XML and Semi-Structured Databases
• Multi-databases and Database Federation XML and Databases
• Scientific and Statistical Databases
• Statistical and Scientific Databases
• Mobile Data and Information
• Databases Systems and Applications
• Information Retrieval and Database Systems
• Distributed, Parallel, P2P, and Grid-based Databases
• Temporal, Spatial, and High Dimensional Databases
• Very Large Data Bases
• Workflow Management and Databases
• User Interfaces to Databases and Information Systems
• Database and Information System Architecture and Performance