The 12th International Conference on Big Data Analytics and Artificial Intelligence (BDA 2024) will be held during December 17-20, 2024. The conference will be organized by the University of Hyderabad (UoH), India. BDA 2024 provides an international forum for researchers and industry practitioners to share their original research results, practical experiences and thoughts on big data from different perspectives including artificial intelligence, machine learning, storage models, data access, computing paradigms, analytics, information sharing and privacy, redesigning mining algorithms, open issues and future research trends.

BDA 2024 invites original, technically sound, original, high-quality research papers proposing novel solutions addressing the problems related to big data analytics as well as case studies and practical experiences with big data. Major topics of interest to the conference include, but are not limited to:

Big Data Systems and Data Science

    Data Integration
    Data pre-processing
    NoSQL and non-standard Data Models
    Data Fusion and Multi Modal Analytics
    Sensor data management, Statistical and scientific databases
    Index Structures, Scalability and Performance
    Data Mining (Association rule, classification, clustering, pattern mining, query analysis, anomaly and outlier detection)
    Spatio-temporal, time-series, sequential, stream and sensor data mining
    Model Discovery from Big Data
    Big Data Processing
    Distributed and Cloud Computing
    Conceptual/cognitive/programming Models for Big data analytics,
    Information Retrieval and Extraction
    Semantic web and knowledge management
    Graph and social network analysis
    Information search
    Human-in-the-loop computation and crowdsourcing
    User interface design
    Recommendation systems
    Data visualization
    Graph mining
    Privacy, security, trust and fairness in big data
    Semantics of Big Data, Processing of Big Data

Artificial Intelligence

    Machine Learning and AI techniques for big data
    Conversational AI (e.g., chatbots and voice assistants)
    Large Language Models and vision transformers
    Deep Learning
    Prompt Engineering
    Reinforcement learning
    Generative AI
    Quantum ML
    Decision-focussed learning
    Neuro-symbolic methods and reasoning
    Non-IID learning, and OOD generalization
    Edge analytics and federated learning

Technology and Practice

    Innovative Data science and AI applications in agriculture, medical, drug discovery, environment, climate change. E-governance and so on.
    AI technologies for trend detection, analysis and tracing on contact networks
    Domain-specific Analytics
    Interaction Design for Exploratory Analytics
    AI technologies for trend detection, analysis and tracing on contact networks
    Innovative search and recommendation applications
    Database usability and HCI
    Advanced database and Web applications
    Bio and health informatics

Research Track Submissions:

Each paper should contain an abstract of approximately 250 words with a page limit of 20 pages in the LNCS style. The submissions include the title page, references and appendix. For preparing the manuscript, please see instructions for authors by Springer in the Lecture Notes in Computer Science series (LNCS). The BDA proceedings is expected to be published by Springer's LNCS series (approval pending).