DMBD'2025
Data Mining & Analysis Artificial Intelligence Evolutionary Computation
The Tenth International Conference on Data Mining and Big Data (DMBD'2025) serves as a global platform for researchers and practitioners to exchange the latest advancements in theories, algorithms, models, and applications of data mining, big data, and artificial intelligence techniques. Data mining involves exploring large datasets to extract meaningful information, while big data encompasses vast amounts of data and information that warrant in-depth research.
DMBD'2025 marks the tenth event following successful conferences in Guangzhou, Belgrade, Chiang Mai, Shanghai, Fukuoka, Bali, Beijing, Sanya, and Ho Chi Minh City, attracting hundreds of delegates worldwide to share their latest achievements, innovative ideas, remarkable designs, and excellent implementations. DMBD'2025 will be held in December 2025 in Beijing, China.
Beijing, the capital of China, is renowned for its profound historical and cultural heritage, as well as its modern urban landscape. As a city that seamlessly blends ancient traditions with contemporary innovation, Beijing is home to iconic landmarks such as the Great Wall, the Forbidden City, and the Temple of Heaven. The city also boasts a vibrant cultural scene, world-class museums, and a diverse culinary experience that reflects its rich history and global influence. In December, Beijing's winter charm is enhanced by festive decorations and seasonal activities, offering a unique and inspiring backdrop for the conference.
Papers presented at DMBD'2025 will be published Springer-Nature in Communications in Computer and Information Science (CCIS) (indexed by EI, ISTP, DBLP, SCOPUS, ISI, Web of Science, etc.) The downloads of our meeting's proceedings reach the top 25% of all publications of Springer-Nature. Some high-quality papers will be selected for SCI-indexed Transaction (including IEEE Trans, Swarm and Evolutionary Optimization, etc.) and Journal Special Issues
DMBD'2025 Secretariat
Email: dmbd2025@iasei.org
Website: https://iasei.org/dmbd2025/