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AIDM 2026: International Conference on Artificial Intelligence and Data Mining

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Día de Entrega:
2026-03-20
Fecha de Notificación:
2026-03-24
Fecha de conferencia:
2026-03-27
Ubicación:
Hangzhou, China
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AIDM 2026 (International Conference on Artificial Intelligence and Data Mining) is an academic conference held in Hangzhou, China on 2026-03-27. The paper submission deadline is 2026-03-20. Acceptance notifications are sent on 2026-03-24.

2026 International Conference on Artificial Intelligence and Data Mining (AIDM 2026) will be held on March 27-29, 2026 in Hangzhou, China. The goal of AIDM is to promote the research and developmental activities in Artificial Intelligence and Data Mining and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held to make it an ideal platform for people to share views and experiences in Artificial Intelligence and Data Mining and related areas. The topics of interest for submission include, but are not limited to: ◕ Artificial Intelligence · Computer Vision · Machine Learning · Artificial Intelligence Algorithms · Intelligent Manufacturing · Precision Manufacturing Technology · Virtual and Network Manufacturing · Industrial Robots and Automated Production Lines · Industrial Design and Manufacturing · Intelligent Control System · Mechanical Manufacturing Automation · Intelligent Sensing System · Aerospace Applications · Electrical Control Technology · Smart Factory and Automation Technology · Machine learning based production optimization · Deep Learning in Fault Detection and Diagnosis · Machine learning-driven product quality control · Predictive maintenance and real-time analytics · Autonomous Robots in Manufacturing Environments ◕ Data Mining · Scalable Data Preprocessing · Parallel and Distributed Data Mining Algorithms · Mining on Data Streams · Graph and Subgraph Mining · Methodologies on Large-scale Data Mining · Text, Video, Multimedia Data Mining · Web Mining · High Performance Data Mining Algorithms · Data Mining Visualization · Security and Privacy Issues · Competitive Analysis of Mining Algorithms · Data Mining Systems in Finance and E-commerce
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