Computing & Data · Data Science & Analytics
10th International Conference on Geoinformatics and Data Analysis (ICGDA 2027)
Recurring
IEEE 2025 7th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 2025) will be held on October 24-26, 2025 in Hangzhou, China. Conference Website: https://ais.cn/u/NVRzY3 ---Call for papers--- The topics of interest for submission include, but are not limited to: - Machine Learning - Deep and Reinforcement learning - Pattern recognition and classification for networks - Machine learning for network slicing optimization - Machine learning for 5G system - Machine learning for user behavior prediction ...... - Big Data - Big Data Analytics - Data Science Models and Approaches - Algorithms for Big Data - Big Data Search and Information Retrieval Techniques - Big Data Acquisition, Integration, Cleaning, and Best Practices ...... - Business Intelligence - Intelligent Computing Methodologies and Applications - Evolutionary Computing and Learning - Swarm Intelligence and Optimization - Signal Processing and Pattern Recognition - Image Processing and Information Security - Virtual Reality and Human-Computer Interaction - Business Intelligence and Multimedia Technology ...... ---Publication--- All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of MLBDBI 2025 will be published in IEEE and will be submitted to EI Compendex,Scopus for indexing. ---Important Dates--- Full Paper Submission Date: September 24, 2025 Registration Deadline: September 24, 2025 Final Paper Submission Date: October 17, 2025 Conference Dates: October 24-26, 2025 --- Paper Submission--- Please send the full paper(word+pdf) to Submission System: https://ais.cn/u/NVRzY3
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Computing & Data · Data Science & Analytics
Recurring
Computing & Data · Data Science & Analytics
Recurring
Computing & Data · Data Science & Analytics
Recurring
A match in this field was an edition that has ended. The series is suggested in its place, so the recommendation still leads somewhere useful.