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BIGML 2026 : 7th International conference on Big Data, Machine learning and Applications

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Link: https://aisc2026.org/bigml/index
 
When Nov 21, 2026 - Nov 22, 2026
Where London, United Kingdom
Submission Deadline Oct 31, 2026
Notification Due Nov 13, 2026
Final Version Due Nov 16, 2026
Categories    machine learning   big data   engineering   artificial intelligence
 

Call For Papers

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 October 31, 2026 (Final Call). 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.

Important Dates

Submission Deadline: October 31, 2026 (Final Call)
Authors Notification: November 13, 2026
Final Manuscript Due: November 16, 2026

Co - Located Event

***** The invited talk proposals can be submitted to bigml@ccsit2026.org

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