2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI)

活动简介

Data science has become the new frontier for self-driving cars and AI. Such intelligent applications derive from Information Reuse and Integration (IRI). IRI seeks to maximize the utility of information by creating simple, rich, and cost-effective knowledge representations and ontologies. IRI consequently explores strategies for integrating this knowledge into systems and applications. It plays a pivotal role in the capture, representation, maintenance, integration, validation, and extrapolation of information and the knowledge derived from it; and, it applies both information and knowledge for enhancing decision-making in various application domains.

This conference explores three major tracks: information reuse, information integration, and reusable systems. Information reuse explores the theory and practice of optimizing representations; information integration focuses on innovative strategies and algorithms for unifying diverse information in novel domains; and reusable systems focus on developing and deploying models and corresponding processes that enable Information Reuse and Integration to play a pivotal role in enhancing decision-making processes in various application domains.

The IEEE IRI conference serves as a forum for researchers and practitioners from academia, industry, and government to present, discuss, and exchange ideas that address real-world problems with real-world solutions. Theoretical and applied papers are both included. The conference program will include special sessions, open forum workshops, panels, and keynote speeches.

征稿信息

重要日期

2024-04-15

初稿截稿日期

This conference presents excellent, novel, and contemporary papers covering all aspects of Data – including Scientific Theory and Technology-Based Applications. The IEEE IRI conference and its workshops serve as a forum for researchers and practitioners from academia, industry, and government to present, discuss, and exchange ideas that address real-world problems with real-world solutions. Theoretical and applied papers are both welcome. The conference program will include several plenary speeches from academia, industry, and government as well as specialized workshops.

The conference includes, but is certainly not limited to, the areas listed below:

Information Reuse
- Data Science & Technologies - Heuristic Acquisition
- Data & Knowledge Representation and Management
- Data Visualization
- Information Science & Theory
- Contemporary as well as Novel Data Mining Techniques
- Graph Models
- Large Language Models
- Recommender Systems
Information Integration
- Machine Learning & AI
- AI and Security
- Heuristics, and Explanation-Based Learning vs. neural networks which are intractable
- Information Science & Theory
- Symbolic AI
- Evolutionary Techniques
- Predictive Data Analysis & Intelligence
- Statistical Analysis
Reusable Systems
- Software and Systems Reuse and Reusability
- Software Sustainability and Reuse Economics
- Software Maintenance and Life-Cycle Management
- Software Reliability, Robustness, and Dependability
- Platforms and Tools
- Brain-Computer Interface: Applications and Algorithms
- Applications – Autonomous Vehicles, Business, Education, Engineering, Healthcare and Medical Informatics, the Internet of Things, Math, Military, Multimedia, NLP, Robotics, Science, Security, Social Networking, Space, Vision, etc.