International Conference on Knowledge Discovery and Machine Learning (KDML)


The International Conference on Knowledge Discovery and Machine Learning (KDML) covers topics such as:

  • Knowledge Maintenance; Knowledge Elicitation
  • Knowledge Representation and Modeling
  • Expert Systems or Decision Support Systems
  • Knowledge-Based Systems
  • Workflow Management Systems
  • Content Management and Knowledge Management Systems
  • Ontology Engineering (Modeling, Mapping, Integration)
  • Business Process Reengineering
  • Natural Language Processing
  • Data Mining and Knowledge Discovery
  • Textual Entailment; Question Answering Systems
  • Text Mining, Classification and Summarization
  • Language Translation and Linguistics
  • Document Preparation and Text Processing
  • Unstructured and Semi-Structured Data Retrieval
  • Information Storage, Annotation and Retrieval
  • Information and Knowledge Integration
  • Data Simulation, Modeling, and Visualization
  • Pattern Recognition and Classification for Networks
  • Deep and Reinforcement Learning
  • Machine Learning for 5G system
  • Machine Learning for Network Slicing Optimization
  • New Innovative Machine Learning Methods
  • Machine Learning for User Behavior Prediction
  • Performance Analysis of Machine Learning Algorithms
  • Optimization of Machine Learning Methods
  • Data mining in heterogeneous networks
  • Experimental evaluations of machine learning
  • Machine learning for Internet of Things
  • Machine learning for multimedia
  • Distributed and decentralized machine learning algorithms
  • Machine learning for security and protection
  • Intelligent ressource allocation
  • Intelligent cloud-support communications
  • Intelligent software defined networks
  • Intelligent energy-aware/green communications
  • Intelligent positioning and navigation systems
  • Intelligent cooperative networks
  • Intelligent wireless sensor networks
  • Intelligent wireless communications
  • Intelligent underwater sensor networks

Future Events

Past Events


Please, check the official event website for possible changes, before making any traveling arrangements

Event Categories

Science: Computer Science
Technology: Artificial Intelligence (AI), Robotics

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