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DSA 2026: International Conference on Dependable Systems and Their Applications

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投稿締切日:
2026-11-07 残り 2 日 延長
通知日:
2026-11-17
開催日:
2026-11-14
開催地:
Xiamen, China
開催回数:
主催者:
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会伴インデックス (CP-I)

53.0 / 100
全 5,769 件中 第 1,134 位 · 上位 20%

システム・アーキテクチャ 分野 342 件中 第 133 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
71
コミュニティの注目度 (10%)
30
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：13 · 会伴でフォローしている研究者：4 人 · 過去 24 か月にこのページを開いた研究者：6 人

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論文募集

DSA 2026 (International Conference on Dependable Systems and Their Applications) is an academic conference held in Xiamen, China on 2026-11-14. The paper submission deadline is 2026-11-07 (extended). Acceptance notifications are sent on 2026-11-17.

7th International Conference on Data Science and Applications (DSA 2026) November 27 ~ 28, 2026, Zurich, Switzerland https://aiaa2026.org/dsa/index Scope 7th International Conference on Data Science and Applications (DSA 2026) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Applications. 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 the following areas, but are not limited to. Topics of interest • Anomaly Detection at Scale • Approximate Nearest Neighbor Search • Automated Feature Engineering • AutoML • Autonomous Systems Data Analytics • Bias Detection and Mitigation • Big Data Algorithms , Applications , Fundamentals • Big Data Management and Frameworks • Big Data Search, Big Data Security • Bioinformatics and Biometrics • Blockchain Data Analytics • Causal Inference, Discovery • Climate Data Science • Clinical Decision Support Models • Consistent Data Model • Counterfactual Modeling • Cross‑Modal Foundation Models • Cross‑Modal Retrieval • Cybersecurity Data Science • Data and Knowledge Representation • Data Streams Mining • Databases , Vector Databases • Dataset Design for LLMs • Deep Learning • Digital Twin Analytics • Distributed Model Serving • Domain‑Specific Foundation Models • Edge‑AI • Edge‑Cloud Collaborative Analytics • Educational Data Mining • Environmental Modeling • ESG Analytics • Event‑Driven Data Processing • Explainable AI • Exploring Data Analysis • Fairness in Data Science • Federated Learning • Financial Modeling • Forecasting, Classification, Clustering • Foundation Models for Data Science • Generative AI for Data Mining • Generative Feature Engineering • Graph Foundation Models • Graph Mining • Graph Neural Networks • Graph Representation Learning • High‑Dimensional Indexing • High‑Velocity Data Pipelines • Human‑Robot Interaction Analytics • Hybrid Quantum‑Classical Analytics • Image Analysis • Inference, Prediction and Knowledge Consolidation • Interpretable Models • Knowledge Graphs , KG Embeddings , KG‑Driven Reasoning • Large‑Scale Sensor Analytics • Latency‑Aware Data Processing • Learning in Knowledge‑Intensive Systems • Learning Problems • LLM Benchmarking and Evaluation • LLM Robustness Testing • Machine Learning Applications • Medical Foundation Models • Mining from Low‑Quality Information Sources • Mining Trends, Opportunities and Risks • Multimodal Learning • OLAP and Data Mining • On‑Device Data Processing • Parallel and Distributed Data Mining Algorithms • Pipeline Optimization • Precision Medicine Analytics • Pre‑Processing Techniques and Visualization • Privacy‑Preserving Data Mining • Quantum Data Science • Quantum Machine Learning • RAG for Enterprise Data Systems • RAG‑Driven Data Mining • RAG‑Enhanced Analytics Pipelines • Real‑Time Decision Intelligence • Real‑Time Streaming Analytics • Responsible AI • Robot Learning from Data • Robotics Data Science • Secure Multi‑Party Computation • Security and Information Hiding in Data Mining • Sensor Fusion for Autonomous Systems • Smart City Data Science • Smart Contract Data Analysis • Social Networks Mining • Spatial Data Mining • Synthetic Data Generation • Temporal and Time‑Series Mining • Text, Video, Multimedia Data Mining • Threat Intelligence Mining • TinyML for Data Science • Transparent Data Mining • Twin‑Based Simulation Data Mining • Twin‑Driven Prediction Models • Unified Multimodal Embeddings • Urban Computing • Web Mining • Web3 Data Mining Paper Submission Authors are invited to submit papers through the conference Submission System by November 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 DSA 2026, after further revisions, will be published in the special issue of the following journal. • International Journal of Database Management Systems (IJDMS) • International Journal of Data Mining & Knowledge Management Process (IJDKP) • Machine Learning and Applications: An International Journal (MLAIJ) • International Journal of Web & Semantic Technology (IJWesT) • The International Journal of Multimedia & Its Applications (IJMA) Important Dates (2nd batch: submissions after Oct 04) • Submission Deadline : November 07, 2026 • Authors Notification : November 17, 2026 • Final Manuscript Due : November 20, 2026 Contact Us Here's where you can reach us : [email protected] (or) [email protected] Paper Submission URL https://cndc2026.org/submission/index.php
最終更新：Kissan Dom （）

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