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PRDM 2020 : International Conference on Pattern Recognition and Data Mining

Sanya, China
Event Date: Dec 24, 2020 - Dec 26, 2020
Submission Deadline: Jun 30, 2020
Notification of Acceptance: Jul 30, 2020

About

International Conference on Pattern Recognition and Data Mining (PRDM 2020) will be held in Sanya, China during December 24-26, 2020.PRDM 2020 is the workshop of ACAI 2020

PRDM 2020 is to bring together innovative academics and industrial experts in the field of Pattern Recognition and Data Mining to a common forum.

Call For Paper

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

Pattern Recognition and Applications

  • Feature Extraction
  • Bayes Decision Theory
  • Maximum Likelihood Estimation
  • Probability Density Estimation
  • Dimensionality Problem
  • Multiple Discriminant Analysis
  • Perceptron Criterion
  • MSE Criterion
  • Linear Discriminator (Tutorial)
  • Neural Networks for Pattern Recognition
  • Unsupervised Learning -Clustering
  • Audio and Speech Analysis
  • Temporal Pattern Recognition
  • Clustering and biclustering
  • Support Vector Machine
  • Human face recognition and animation
  • Motion Tracking and Action Recognition
  • Natural Language Processing
  • Robotics
  • 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
  • Sensors and Early Vision

Data Mining Foundations & Applications

  • Parallel and Distributed Data mining Algorithms
  • Data Streams Mining, Graph Mining
  • Machine learning for data mining
  • Statistical methods for data mining
  • Multimedia Data Minin
  • Spatial Data mining, Text Video
  • Web Mining
  • Pre-processing Technique
  • Visualization
  • Security and Information Hiding in Data Mining
  • Clustering
  • Databases
  • Image Analysis
  • Financial Modeling
  • Forecasting
  • Classification
  • Social Networks
  • Educational Data Mining
  • Data and Knowledge Representation
  • Integration of Data Warehousing

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