ICDMM
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
ICDMM
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
data mining
machine learning
pattern recognition
clustering algorithms
classification models
association rule mining
predictive analytics
feature extraction
anomaly detection
big data analytics
regression analysis
ensemble methods
data preprocessing
dimensionality reduction
outlier detection
neural networks
deep learning
supervised learning
unsupervised learning
knowledge discovery
Start Date
Tuesday, April 21, 2026
Registration Deadline
Monday, April 6, 2026
Submission Deadline
Monday, April 6, 2026
Seoul, Soul-t ukpyolsi, South Korea