7th International Conference on Data Storage and Data Engineering (DSDE 2024)

The 7th International Conference on Data Storage and Data Engineering (DSDE 2024) covers topics such as:

• Data Management and Quality
  • Mobile Data Management and IoT Data
  • Architectural Concepts for Data Management
  • Open Data and Transparency in Research Data
  • Large Data Systems Modeling and Management
  • Data and Information Quality Management
  • Smart Cities and Urban Data Analytics
  • Data Modeling, Visualization, and Virtualization
  • Data Management for Analytics
  • Linked Data and Semantic Web Technologies
  • Industry 4.0 and Sensor Data Management
  • City Data Management and Governance
  • Organizational Concepts and Best Practices in Data Management
• Big Data and Analytics
  • Computational Models for Big Data
  • Big Data Applications and Case Studies
  • Social Data Analytics and Web Mining
  • Data Standards and Interoperability
  • Big Data Infrastructure and Cloud/Grid/Stream Computing
  • Big Data as a Service
  • Big Data Security, Privacy, and Trust
  • Big Data Search, Mining, and Visualization
  • Energy-Efficient Computing and In-Memory Databases
  • Deep Learning for Big Data
  • Edge Computing and In-Network Data Processing
  • Information Visualization and Visual Analytics
• Databases and Data Security
  • Large-Scale and Distributed Databases
  • Database Architecture and Performance Optimization
  • Object-Oriented and Open Source Databases
  • Mobile and NoSQL Databases
  • Data Integrity and Consistency
  • Query Processing and Optimization
  • WWW and Databases
  • Data Privacy, Security, and Confidentiality
  • Database Management in Cloud Environments
  • Blockchain Technology for Data Storage and Security
• Data Science and Machine Learning
  • Pattern Recognition and Predictive Modeling
  • Data Fusion and Integration
  • Data Mining and Knowledge Discovery
  • Support Vector Machines and Hybrid Methods
  • Evolutionary Computing and Optimization
  • Deep Learning and Neural Network Applications
  • Fuzzy Computing and Uncertainty in Data Analysis
  • Feature Selection and Granular Computing
  • Data Science Applications and Case Studies
  • Process Mining and Workflow Analytics