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12th International Conference on Data Mining (DTMN 2026)

Categories

Date of beginning

Saturday, 17 October 2026

Duration

2 days

Deadline for abstracts

Saturday, 22 August 2026

City

Sydney, Australia

Country

Sydney, Australia

Contact

Sydney, Australia

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Expected participants

60

Memo

12th International Conference on Data Mining (DTMN 2026) October 17 ~ 18, 2026, Sydney, Australia https://aifz2026.org/dtmn/index Scope & Topics 12th International Conference on Data Mining (DTMN 2026) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results projects surveying works and industrial experiences that describe significant advances in Data mining and Applications. Authors are solicited to contribute to the conference by submitting articles that illustrate research results projects surveying works and industrial experiences. All submissions must describe original research not published or currently under review for another conference or journal. Topics of interest include, but are not limited to, the following: Foundations of Data Mining Large Scale, Distributed and Cloud Native Data Mining Federated, On‑Device and Privacy Preserving Mining Mining Text, Web, Graph, Social and Semi Structured Data Spatio‑Temporal, Streaming and Real Time Mining Multimedia and Multimodal Data Mining Graph Mining, Network Science and Knowledge Graphs Deep Learning, Representation Learning and Feature Engineering Self‑Supervised, Contrastive and Semi Supervised Mining Active Learning and Reinforcement Learning for Mining Mining Foundation Model Outputs and LLM Behaviors Mining Multimodal Foundation Models LLM‑Driven and Autonomous Data Mining Pipelines Agentic AI and Multi Agent Mining Systems Generative AI for Data Mining Causal Discovery and Causal Data Mining Knowledge Discovery, Pattern Mining and Frequent Structures Scientific ML, Symbolic Regression and Scientific Data Mining Anomaly Detection, Outlier Analysis and Rare Event Mining Personalization, Recommendation and User Modeling Search, Ranking and Information Retrieval Mining Security, Privacy, Fraud and Threat Intelligence Mining Adversarial Data Mining and Robustness IoT, Sensor Fusion and Cyber Physical Systems Mining Autonomous Systems and Vehicle Data Mining Edge‑Native and TinyML Driven Data Mining Healthcare, Biological and Medical Data Mining Climate, Environmental and Sustainability Data Mining Financial, Economic and Business Data Mining Social Media, Social Networks and Human Behavior Mining Human Centric and Societal Scale Data Mining Logs, Telemetry, Observability and AIOps Mining Synthetic Data Generation and Augmentation AutoML, Meta Learning and Automated Mining Pipelines Explainable and Interpretable Data Mining Fairness, Ethics, Bias and Responsible Data Mining Safety Critical Data Mining and Risk Sensitive Analytics Data Governance, Lineage and Quality Mining   Paper Submission Authors are invited to submit papers through the conference Submission System by August 22, 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 Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from DTMN 2026, after further revisions, will be published in the special issues of the following journals International Journal of Database Management Systems (IJDMS) International Journal of Data Mining & Knowledge Management Process (IJDKP) International Journal of Web & Semantic Technology (IJWesT) – IS Indexed Information Technology in Industry (ITII) Important Dates Submission Deadline : August 22, 2026 Authors Notification : September 26, 2026 Registration & Camera-Ready Paper Due : October 03, 2026 Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it.  or This email address is being protected from spambots. You need JavaScript enabled to view it.