Hybrid (In-Person and Virtual) Conference: We are very happy to welcome you all in Chengdu and are confident that the situation is improving regarding the on-going COVID-19 pandemic. The conference will be held on 28-30 December 2023 as the safety and well-being of all conference participants are of the highest priority. Nevertheless, in view of the possible travel restrictions, the conference will be in the form of a hybrid conference with as many authors and participants as possible attending the conference in Chengdu in person, and others attending remotely. The technical program will include physical sessions with on-site presentations and virtual (on-line) sessions for remote participants.

The 6th International Conference on Data Science and Computational Intelligence (DSCI-2023) is especially dedicated to the celebration of the 66th anniversary of Artificial Intelligence. Aiming at creating computers and computer software capacity of intelligent behaviour, many amusing achievements throughout the past 65 years' journey have been made, including the recent AlphaGo, a.k.a, the Deep Reinforcement Learning, an intelligent computer program that beat Lee Sedol, a 9-dan professional player in a five-game match of Go. Such a task was considered as an impossible mission in only a decade ago. As we enter the big data era, Web Intelligence has extended and made use of Artificial Intelligence for new products, services and frameworks that are empowered by the World Wide Web. DSCI-2023 aims to identify the challenging problems faced by the development of innovative knowledge and information systems, and to shape future research directions through the publication of high quality, theoretical and applied research outcomes. DSCI-2023 is going to highlight the advances in frontiers and applications of general areas such as big data, artificial intelligence, social computing, data mining, information retrieval, and machine learning. DSCI is uniquely placed to deliver fresh perspectives on data science.

DSCI-2023 is planned to be hosted in Chengdu, China, the capital of southwestern China's Sichuan province. The city is also home to the famous Chengdu Research Base of Giant Panda Breeding, a conservation center where visitors can view endangered giant pandas in a natural habitat. All accepted papers are expected to be included in IEEE Xplore and will be indexed by Engineering Index (EI). The authors of selected best papers will be invited post conference to extend their contributions for special issues of prestigious journals to be planned in conjunction with the conference.

Scope and Topics

Track 1: Data Science Theory, Algorithms and Architectures

    Foundations of Data Science
    Programming Techniques
    Analytics and Metrics
    Representation Formats
    Cloud Computing Techniques
    Mobile and Pervasive Computing
    Data Management
    Data Quality
    Social Computing
    Social Network Analysis
    Protection, Integrity and Privacy
    Distributed Data Mining
    Visualization

Track 2: Data Science Applications

    Web Intelligence
    Humanities
    Stock Market Analysis
    Scalable Cloud Data Management
    Privacy and Security
    Geosciences
    Manufacturing and Supply Chains
    Earth Science
    Biomedical Informatics
    High dimensional data
    Social Networks
    B2B Marketing and Sales
    Healthcare
    Sustainable development
    Advanced Manufacturing

Track 3: Computational Intelligence for Big Data Processing

    Artificial Neural Networks and Learning methods
    Deep Learning
    Knowledge based systems
    Uncertainty management
    Global optimization methods
    Intelligent Control Systems
    Intelligent Internet Systems
    Intelligent Software Systems
    Parallel Computation
    Pattern Recognition
    Systems Modelling
    Web Mining

Track 4: Data Mining and Applications

    Parallel and distributed data mining algorithms
    Data streams mining
    Time-series data mining
    Graph mining
    Spatial data mining
    Text video, multimedia data mining
    Web mining
    Pre-processing techniques
    Visualization
    Security and information hiding in data mining
    Data mining applications