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DIS' 2026: International Conference on Data and Information Systems

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截稿日期:
2026-06-10
通知日期:
2026-07-10
会议日期:
2026-08-28
会议地点:
Chengdu, China
届数:
1
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征稿

DIS' 2026 (International Conference on Data and Information Systems) is an academic conference held in Chengdu, China on 2026-08-28. The paper submission deadline is 2026-06-10. Acceptance notifications are sent on 2026-07-10.

About DIS 2026 The 2026 International Conference on Data and Information Systems (DIS 2026) will be held from November 13 to 15, 2026, in Chengdu, China. The conference aims to provide a high-level platform for researchers, academics, and industry practitioners in data science, information systems, and related fields to exchange ideas and explore cutting-edge theories, key technological breakthroughs, and innovative applications. As data has emerged as a critical production factor and artificial intelligence rapidly evolves toward general intelligence, building efficient, secure, and trustworthy intelligent information systems has emerged as a central focus for both academia and industry. In line with this theme, the conference features four parallel tracks dedicated to: foundational theories and advanced technologies in data science and artificial intelligence; innovations in information systems architecture and platforms; vertical applications of data intelligence in key industries; and emerging paradigms and practical implementations of intelligent systems and machine learning. Together, these tracks span the entire spectrum from underlying algorithms to high-level applications. As a hub of technology and innovation in Western China, Chengdu blends rich cultural heritage with modern dynamism, offering a unique setting for academic exchange. We warmly invite researchers and experts from around the world to join us in advancing the frontiers of data and information systems. We look forward to welcoming you to Chengdu in the fall of 2026. The topics of interest for submission include, but are not limited to: Track1: Data Science and Artificial Intelligence Foundations of Data Science Data Representation and Processing Data Mining and Knowledge Discovery Machine Learning and Deep Learning Natural Language Processing and Large Language Models Affective Computing and Sentiment Analysis Social Network Analysis, Security Privacy and Trust in Data Data Visualization, Explainable Trustable and Ethical AI Computational Intelligence Knowledge Representation and Ontologies Track2: Information Systems and Technologies Information System Architecture and Design Database Systems and Management Information Retrieval and Extraction Data Integration and Warehousing Data Quality and Information Governance Cloud and Edge Computing in IM IS Security and Privacy Human-Computer Interaction in IS Enterprise Information Systems Mobile and Ubiquitous Systems Big Data Infrastructure and Platforms Track3: Data and Information System Applications Bioinformatics and Biomedical Informatics Healthcare Information Systems Educational Data Mining and Learning Analytics Smart City and Urban Computing IoT Data Management Industrial Data Analytics Recommender Systems Spatio-Temporal Data Mining Agricultural and Environmental Informatics Track4: Intelligent Systems and Machine Learning Deep Reinforcement Learning Machine Learning for 5G/6G and Network Optimization Innovative Learning Paradigms Performance Analysis of ML Algorithms Machine Learning for IoT and Cybersecurity Intelligent Control and Automation Intelligent Medical Diagnostics Pattern Recognition and Computer Vision Intelligent Decision Support Systems Speech Recognition and Synthesis Publication All accepted full paperswill be published in IEEE(ISBN: 979-8-3195-3661-7)and will be submitted to IEEE Xplore, EI Compendex, Scopus and Inspec for indexing. All conference proceedings paper can not be less than 4 pages.
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