The BDIT 2021 is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Big Data and Information Technology. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

Big Data Science and Foundations

Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards
Cloud/Grid/Stream Computing for Big Data
High Performance/Parallel Computing Platforms for Big Data
Energy-efficient Computing for Big Data
Software Techniques and Architectures in Cloud/Grid/Stream Computing
Big Data Open Platforms
New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
Software Systems to Support Big Data Computing

Big Data Management

Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning, and Best Practices
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Cloud/Grid/Stream Data Mining- Big Velocity Data
Link and Graph Mining
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data- Big Variety Data

Big Data Search and Mining

Social Web Search and Mining
Web Search
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning, and Best Practices
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Cloud/Grid/StreamData Mining- Big Velocity Data
Link and Graph Mining
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data-Big Variety Data

Information Technology

Artificial Intelligence
Business Intelligence and Applications
Cloud Computing in E-Commerce Scenarios
Computer Network
Data Analytics and Big Data
Distributed Systems
E-Business Systems Integration and Standardization, E-government
E-Commerce Risk Management
Electronic Business Model and Method
Evolutionary Computation and Algorithms
Image Processing and Multimedia Technology
Information System Integration and Decision Support
Intelligent Information Processing
Internet of Things, Data Mining
Machine Learning
Mobile Computing
Natural Language Processing
Recommender system
Semantic Web Service Architecture for E-Commerce
Service Oriented E-Commerce and Business Processes
Signal Detection and Processing
Software Engineering
Technique and Application of Database
Visualization and Computer Graphic