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BDA' 2024: International Conference on Big Data and Artificial Intelligence

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BDA'
Día de Entrega:
2024-07-31 Extended
Fecha de Notificación:
2024-09-15
Fecha de conferencia:
2024-12-17
Ubicación:
Telangana, India
Ediciones:
12
Vistas: 8809   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

BDA' 2024 (International Conference on Big Data and Artificial Intelligence) is an academic conference held in Telangana, India on 2024-12-17. The paper submission deadline is 2024-07-31 (extended). Acceptance notifications are sent on 2024-09-15.

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).
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