12th International Conference on Data Mining (DTMN 2026)

Scope & Topics

12^th 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 15, 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).

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