International Conference on Big Data and Information Technology (BDIT 2022)

The International Conference on Big Data and Information Technology (BDIT 2022) covers topics such as:

• Big Data Management
  • Distributed, and Peer-to-peer Search
  • Algorithms and Systems for Big Data Search
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Big Data Search Architectures, Scalability and Efficiency
  • Computational Modeling and Data Integration
  • Visualization Analytics for Big Data
  • Cloud/Grid/Stream Data Mining- Big Velocity Data
  • Large-scale Recommendation Systems and Social Media Systems
  • Semantic-based Data Mining and Data Pre-processing
  • Link and Graph Mining
  • Multimedia and Multi-structured Data- Big Variety Data
  • Mobility and Big Data
• Big Data Science and Foundations
  • New Computational Models for Big Data
  • Novel Theoretical Models for Big Data
  • New Data Standards
  • Data and Information Quality for Big Data
  • High Performance/Parallel Computing Platforms for Big Data
  • Cloud/Grid/Stream Computing for Big Data
  • Software Techniques and Architectures in Cloud/Grid/Stream Computing
  • Energy-efficient Computing for Big Data
  • New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
  • Big Data Open Platforms
  • Software Systems to Support Big Data Computing
• Information Technology
  • Business Intelligence and Applications
  • Artificial Intelligence
  • Computer Network
  • Cloud Computing in E-Commerce Scenarios
  • Distributed Systems
  • Data Analytics and Big Data
  • E-Commerce Risk Management
  • E-Business Systems Integration and Standardization, E-government
  • Evolutionary Computation and Algorithms
  • Electronic Business Model and Method
  • Information System Integration and Decision Support
  • Image Processing and Multimedia Technology
  • Internet of Things, Data Mining
  • Intelligent Information Processing
  • Mobile Computing
  • Machine Learning
  • Recommender system
  • Natural Language Processing
  • Service Oriented E-Commerce and Business Processes
  • Semantic Web Service Architecture for E-Commerce
  • Software Engineering
  • Signal Detection and Processing
  • Visualization and Computer Graphic
  • Technique and Application of Database
• Big Data Search and Mining
  • Web Search
  • Social Web Search and Mining
  • Distributed, and Peer-to-peer Search
  • Algorithms and Systems for Big Data Search
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Big Data Search Architectures, Scalability and Efficiency
  • Computational Modeling and Data Integration
  • Visualization Analytics for Big Data
  • Cloud/Grid/StreamData Mining- Big Velocity Data
  • Large-scale Recommendation Systems and Social Media Systems
  • Semantic-based Data Mining and Data Pre-processing
  • Link and Graph Mining
  • Multimedia and Multi-structured Data-Big Variety Data
  • Mobility and Big Data