7th International Conference on Pattern Recognition and Data Mining (PRDM 2026)

The 7th International Conference on Pattern Recognition and Data Mining (PRDM 2026) focuses on pattern recognition and data mining, including machine learning, classification, clustering, image analysis, natural language processing, and big data algorithms.

Key Topics

• Parallel and Distributed Data mining Algorithms
• Feature Extraction
• Data Streams Mining, Graph Mining
• Bayes Decision Theory
• Machine learning for data mining
• Maximum Likelihood Estimation
• Statistical methods for data mining
• Probability Density Estimation
• Multimedia Data Minin
• Dimensionality Problem
• Spatial Data mining, Text Video
• Multiple Discriminant Analysis
• Web Mining
• Perceptron Criterion
• Pre-processing Technique
• MSE Criterion
• Visualization
• Linear Discriminator (Tutorial)
• Security and Information Hiding in Data Mining
• Neural Networks for Pattern Recognition
• Clustering
• Support Vector Machine
• Databases
• Unsupervised Learning -Clustering
• Image Analysis
• Clustering and biclustering
• Financial Modeling
• Audio and Speech Analysis
• Forecasting
• Temporal Pattern Recognition
• Classification
• Human face recognition and animation
• Social Networks
• Motion Tracking and Action Recognition
• Educational Data Mining
• Natural Language Processing
• Data and Knowledge Representation
• Robotics
• Integration of Data Warehousing
• Sensors and Early Vision
• Bioinformatics and Systems Biology
• Virtual Environments
• Data Mining and Algorithms for Big Data
• Biometrics
• Image and Video Analysis and Understanding
• Document Analysis
• Information Retrieval
• Industry Related Applications
• Medical Imaging