Conference Information
DSDE 2022: International Conference on Data Storage and Data Engineering
http://dsde.org/Submission Date: |
2022-01-25 Extended |
Notification Date: |
2022-02-10 |
Conference Date: |
2022-02-25 |
Location: |
Sanya, China |
Years: |
5 |
QUALIS: b4 Viewed: 13241 Tracked: 5 Attend: 0
Call For Papers
The purpose of the 5th International Conference on Data Storage and Data Engineering (DSDE 2022) 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 Modelling ▪ 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: BUSINESS ANALYTICS ▪ Business Intelligence ▪ Statistics Exploratory Data Analysis ▪ Text Analytics ▪ Web Analytics ▪ Change Detection ▪ Data Analytics ▪ Data Warehouse Management ▪ Decision Support Systems ▪ Dimensional Modelling ▪ Information Integration ▪ Information Retrieval ▪ Semi-Structured and Unstructured Data ▪ Data Governance Track 5: 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
Last updated by Dou Sun in 2022-01-02
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Cogent Engineering | Cogent OA | 2331-1916 | ||
c | Neural Computing & Applications | 5.606 | Springer | 0941-0643 |
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Full Name | Impact Factor | Publisher |
---|---|---|
IEEE Transactions on Knowledge and Data Engineering | 3.857 | IEEE |
CCF Transactions on High Performance Computing | Springer | |
Cogent Engineering | Cogent OA | |
Neural Computing & Applications | 5.606 | Springer |
Automated Software Engineering | 1.273 | Springer |
Annals of Software Engineering | Springer | |
Nature Biomedical Engineering | Springer | |
IEEE Transactions on Software Engineering | 4.778 | IEEE |
Empirical Software Engineering | 2.522 | Springer |
Mathematics and Computers in Simulation | 2.463 | Elsevier |
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