ICDMKM 2027: International Conference on Data Mining and Knowledge Management

ICDMKM 2027: International Conference on Data Mining and Knowledge Management is a conference that explores methods, algorithms, and applications for extracting knowledge from complex and diverse data sources.

Key Topics

• Data Mining Foundations
  • Classification, regression, clustering, and association analysis
  • Sequential, spatial, and temporal data mining
  • Textual and unstructured data mining
  • High performance data mining implementations
  • Novel algorithms for scientific domains like chemistry, biology, and environment
  • Unified theory of data mining
• Mining in Targeted Application Contexts
  • High speed data streams
  • Sensor and distributed multi-agent data mining
  • Mining in web, social, and computer networks
  • Electronic commerce applications: recommendations, marketing, sponsored search
• Methodological Aspects and the KDD Process
  • Data pre-processing, reduction, feature selection and transformation
  • Statistical foundations, robustness, and scalability
  • Quality assessment, interestingness, and post-processing
  • Imbalanced, cost-sensitive, and loss model handling
  • Automation, human-machine interaction, and visual data mining
  • Security, privacy, and data integrity
• Integrated KDD Applications and Systems
  • Bioinformatics, computational chemistry, geoinformatics
  • Computational finance, online trading, and market analysis
  • Intrusion detection, fraud prevention, and surveillance
  • Healthcare, epidemic modeling, and clinical research
  • Customer relationship management
  • Telecommunications and network management

Who should Attend

• Data scientists and analysts
• Researchers in computer science and information technology
• Machine learning and AI professionals
• Business intelligence and decision support specialists
• Academics and students in data mining and knowledge management
• Healthcare and finance data specialists
• Telecommunications and network professionals