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    DMA 2026 - 12th International Conference on Data Mining and Applications (DMA 2026)

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    Website https://dma2026.org/index | Want to Edit it Edit Freely

    Category Foundations, Algorithms, and Theory for Data Mining and Knowledge Discovery Scalable and Distributed Data Mining Systems, Platforms, and High Performance Architectures

    Deadline: February 07, 2026 | Date: May 16, 2026-May 17, 2026

    Venue/Country: Zurich, Switzerland, Switzerland

    Updated: 2026-01-21 14:24:32 (GMT+9)

    Call For Papers - CFP

    12th International Conference on Data Mining and Applications (DMA 2026)

    May 16 ~ 17, 2026, Zurich, Switzerland

    https://dma2026.org/

    Scope & Topics

    12th International Conference on Data Mining and Applications (DMA 2026) provides a premier forum for researchers, practitioners, and industry experts to present and discuss their latest findings in data mining and related fields. The conference invites high quality submissions that showcase innovative research results, novel methodologies, practical systems, comprehensive surveys, and real world industrial experiences. DMA 2026 aims to highlight significant advances in data mining techniques, algorithms, models, and applications, fostering collaboration and knowledge exchange across academia and industry.

    Topics of interest include, but are not limited to, the following:

    • Foundations, Algorithms, and Theory for Data Mining and Knowledge Discovery

    • Scalable and Distributed Data Mining Systems, Platforms, and High Performance Architectures

    • Privacy Preserving Data Mining, Federated Learning, and Secure Data Analytics

    • Machine Learning for Data Mining: Foundation Models, Multimodal Learning, and Representation Learning

    • Graph Mining, Network Science, and Graph Neural Networks

    • Causal Inference, Causal Discovery, and Explainable Data Mining

    • Mining Text, Web, Social Media, and Large Scale Language Data

    • Mining Semi Structured, Spatio Temporal, Streaming, and Sensor Data

    • Anomaly Detection, Rare Event Mining, and High Dimensional Pattern Discovery

    • Recommender Systems, Personalization, User Modeling, and Behavioral Analytics

    • Knowledge Graphs, Semantic Mining, and Reasoning at Scale

    • Data Mining for Bioinformatics, Genomics, Healthcare, and Precision Medicine

    • Data Mining for Climate Science, Sustainability, Smart Cities, and IoT

    • Data Mining Applications in Finance, Economics, Cybersecurity, and E Commerce

    • Human Centered Data Mining, Interactive Mining, and Visualization Driven Analytics

    • Synthetic Data, Data Augmentation, and Evaluation Methodologies

    • Automated Data Mining, AutoML, and Intelligent Data Pipelines

    • Emerging Paradigms: Quantum Data Mining, Neuromorphic Computing, and Next Generation Analytics

    Paper Submission

    Authors are invited to submit papers through the conference Submission System by February 07, 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 DMA 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 Grid Computing & Applications (IJGCA)

    • Information Technology in Industry (ITII)

    Important dates;

    • Submission Deadline : February 07, 2026

    • Authors Notification : March 28, 2026

    • Registration & Camera-Ready Paper Due : April 04, 2026

    Contact Us

    Here's where you can reach us : dmaatdma2026.org or dmaconf7atgmail.com


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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