About BIGML
BIGML 2026 is the 7th International conference on Big Data, Machine learning and Applications, an engineering conference. It takes place on 21 November 2026 in London, United Kingdom. Full papers are due 26 September 2026.
7th International conference on Big Data, Machine learning and Applications (BIGML 2026)
November 21 ~ 22, 2026, London, United Kingdom
Scope & Topics
7th International conference on Big Data, Machine learning and Applications (BIGML 2026) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning.
Topics of interest include, but are not limited to, the following
Big Data Systems, Lakehouse Architectures and Cloud Native Pipelines Streaming, Real‑Time, Edge and IoT Big Data Analytics Large‑Scale Data Mining, Pattern Discovery and Graph Analytics Machine Learning and Deep Learning for Massive Datasets Self‑Supervised, Contrastive, Graph and Sequential ML Time‑Series Foundation Models, SSMs and Anomaly Detection Foundation Models, LLMs, RAG and Multimodal AI for Big Data Generative AI, Synthetic Data and Simulation‑Driven Data Generation Causal ML, Causal Discovery and Counterfactual Reasoning Neural Retrieval, Vector Databases and Web‑Scale Search Data‑Centric AI, Weak Supervision and Data Quality Engineering ML Safety, Robustness, Alignment and Privacy‑Preserving ML Adversarial ML, Threat Intelligence and Fraud Detection Code‑LLMs, Software Analytics and Automated Code Intelligence Recommender Systems, Personalization and Graph Based Recommendations ML for Optimization, Supply Chain, Routing and Operations Research Scientific ML, Physics Informed ML and Climate/Sustainability Analytics MLOps, DataOps, HPC and Hardware Accelerated ML Energy‑Efficient ML, Carbon‑Aware Computing and Efficient Model Training Paper Submission
Authors are invited to submit papers through the conference Submission System by September 26, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from BIGML 2026, after further revisions, will be published in the special issue of the following journals.
Machine Learning and Applications: An International Journal (MLAIJ) International Journal of Computer Networks & Communications (IJCNC)/a> International Journal of Wireless & Mobile Networks (IJWMN)/a> International Journal of Mobile Network Communications & Telematics (IJMNCT)/a> Advances in Vision Computing: An International Journal (AVC) Information Technology in Industry (ITII)/a> Important Dates
Submission Deadline : September 26, 2026 Authors Notification : October 24, 2026 Final Manuscript Due : October 31, 2026
Co - Located Event
16th International Conference on Computer Science and Information Technology (CCSIT 2026) 14th International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2026) 15th International Conference on Parallel, Distributed Computing Technologies and Applications (PDCTA 2026) 11th International Conference on Software Engineering (SOEN 2026) 11th International Conference on Networks, Communications, Wireless and Mobile Computing (NCWMC 2026) 11th International Conference on Data Mining & Knowledge Management (DaKM 2026) 7th International Conference on Natural Language Processing and Computational Linguistics (NLPCL 2026) 14th International Conference on Artificial Intelligence, Soft Computing (AISC 2026) 7th International Conference on Integrating Technology in Education (ITE 2026) ***** The invited talk proposals can be submitted to bigml@ccsit2026.org
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