2024 5th International Conference on Big Data Economy and Information Management (BDEIM 2024) will bring together leading researchers, engineers and scientists in the domain of interest from around the world.
Topics of interest for submission include, but are not limited to:
| Big Data Management: | Information Management: | Big Data Search and Mining: |
strategy and information systems Management Information Systems Information systems planning and management Adoption of information technology in organizations Human factors in information systems Systems analysis and design methods Object-oriented enterprise modeling Knowledge based systems to support database design Automated mediation in group support systems Distributed information systems, electronic commerce Software copyright infringements Accounting and Financial Information System Internet Technology Auditing and IT Governance Information Quality and Strategy Decision Support System Information Systems Management ERP | 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 | 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 |
| Other related topics | ||