ICDPA 2021, The 7th International Conference on Data Processing and Applications, will take place in Shanghai, China from June 19-21, 2021, as a workshop of
WCSE 2021, which is hosted by East China Normal University, China Agricultural University, Science and Engineering Institute, organized by School of Computer Science and Technology, East China Normal University, co-sponsored by University of Houston-Downtown, USA, Shanghai Maritime University, China, Bauman Moscow State Technical University, Russia, Tokyo University of Science, Japan. It is a premier forum for data science researchers and professionals to discuss, distribute and advance the state of research and development of the data field. The conference facilitates the exchange of insights and innovations between the industry and academia, each represented by leaders in their respective fields.
Join academics, experts and vendors from around the globe for invaluable day of networking, educational sessions, breakout groups and, of course, fun. The community has a unique opportunity to come together under one roof and share insights and best practices in big data. It is a not-to-be-missed opportunity that distills the most current knowledge on a rapidly advancing discipline in one conference.
The papers to be presented at ICDPA address many grand challenges in modern engineering. The full papers to be presented will be peer-reviewed by expert reviewers including the whole organising committees members. We look forward to your participation and continued engagement at future ICDPA conferences.
Topics of Interest
(not exhaustive):
Algorithms and Systems for Big Data Search
Big data analytics
Big Data Analytics and Metrics
Big Data Architectures
Big Data Economics/td> Big Data for Enterprise
Big data experiences
Big Data for Business Model Innovation
Big Data for Enterprise Transformation
Big Data in Business Performance Management
Big Data in Government Management Models and Practices
Big Data in Mobile and Pervasive Computing
Big Data in Smart Planet Solutions
Big Data Management
Big data medical devices
Big data medical records
Big data processing
Big Data Search and Mining
Big Data Storage, Processing and Transformation
Big data systems
Business/Corporate/Industrial Data Mining
Cloud Computing Techniques for Big Data
Collaborative Threat Detection using Big Data Analytics
Data fusion and integration
Data Mining Algorithms
Data mining Applications
Data mining Foundations
Data Mining in Logistics
Data Mining, Clustering and Knowledge Discovery
Database and Information System Architecture and Performance
Databases and Information Retrieval
Databases Systems and Applications
Data-mining grids
Distributed and grid based data mining
Distributed, and Peer-to-peer Search
Distributed, Parallel, P2P, and Grid-based Databases
Engineering Mining
Explorative and visual data mining
Information Retrieval and Database Systems
Machine learning based on Big Data
Management Issues of Social Network enabled Big Data
Medicine Data Mining
Military Data Mining
Mining text and semi-structured data
Mobile Data and Information
Models and Languages for Big Data Protection
Multi-databases and Database Federation XML and Databases
Multimedia mining (audio/video)
Parallel, Distributed and Grid Data Management
Privacy, Trust and Security in Databases
Representation Formats for Multimedia Big Data
Scientific and Statistical Databases
Scientific Applications of Big Data
Security Applications of Big Data
Security Data Mining
Sensor and Mobile Data Management
Social Science Mining
Statistical and Scientific Databases
Temporal, Spatial, and High Dimensional Databases
User Interfaces to Databases and Information Systems
Very Large Data Bases
Visualization Analytics for Big Data
Web mining
Workflow Management and Databases
XML and Semi-Structured Databases
