PRDM Topics

TOPICS OF INTEREST FOR SUBMISSION INCLUDE, BUT ARE NOT LIMITED TO:

 

 

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