The
purpose of the 6th International Conference on Data Storage and Data Engineering (DSDE 2023) is to bring
together researchers, engineers and practitioners
interested on databases, big data, data mining, data
management, data security and other aspects of
information systems and technology involving advanced
applications of data.
Papers describing advanced methodologies, prototypes,
systems, tools and techniques and general survey papers
indicating future directions are also encouraged. Papers
describing original work are invited in any of the areas
listed.
Each of these topic areas is expanded below but the
sub-topics list is not exhaustive. Unlisted but related
sub-topics are also acceptable, provided they fit in one
of the following main topic areas:
Track
1: BIG DATA
▪ Big Data Applications
▪ New Computational Models for Big Data
▪ New Data Standards
▪ Social Data Analytics
▪ Social Web Search and Mining
▪ Big Data as a Service
▪ Big Data Infrastructure
▪ Big Data Search and Mining
▪ Big Data Security, Privacy and Trust
▪ Cloud/Grid/Stream Computing for Big
Data
▪ Data and Information Quality for Big Data
▪ Deep Learning and Big Data
▪ Information Visualization
▪ Edge Computing
▪ In-Network Data Processing
▪ Energy-Efficient Computing
▪ In-Memory Databases
Track
2: DATA MANAGEMENT AND QUALITY
▪ Architectural Concepts
▪ Mobile Data Management
▪ Modeling and Managing Large Data Systems
▪ Open Data
▪ Organizational Concepts and Best Practices
▪ Smart Cities and Urban Data Analytics
▪ Transparency in Research Data
▪ City Data Management
▪ Data and Information Quality
▪ Data Management for Analytics
▪ Data Modeling and Visualization
▪ Data Structures and Data Management Algorithms
▪ Data Virtualization
▪ Industry 4.0
▪ Management of Sensor Data
▪ Linked Data
▪ Semantic Web Technologies for Data Management
Track 3: DATA SCIENCE
▪ Data Fusion
▪ Pattern Recognition
▪ Predictive Modeling
▪ Support Vector Machines
▪ Data Science
▪ Data Mining
▪ Deep Learning
▪ Evolutionary Computing and Optimization
▪ Feature Selection
▪ Fuzzy Computing
▪ Hybrid Methods
▪ Neural Network Applications
▪ Process Mining
▪ Granular Computing
Track 4: DATABASES AND
DATA SECURITY
▪ Data Integrity
▪ WWW and Databases
▪ Data Privacy and Security
▪ Database Architecture and Performance
▪ Large Scale Databases
▪ Mobile Databases
▪ NoSQL Databases
▪ Object-Oriented Database Systems
▪ Open Source Databases
▪ Query Processing and Optimization
