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).