International Conference on Data Mining, Big Data, Database and Data System ICDMBDDDS on May 11-12, 2025 in Honolulu, United States

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