The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022)

Topics

• Big Data Technologies
  • Large-scale systems for text and graph analysis, sampling, parallel and distributed data mining (cloud, map-reduce, federated learning), novel algorithmic, and statistical techniques for big data
• Data Science
  • Mining sequences, streams, text, web, graphs, rules, patterns, logs data, IoT data, spatio-temporal data, biological data
  • Methods for analyzing scientific and business data, social networks, time series
  • Recommender systems, computational advertising, multimedia, finance, bioinformatics
• Foundations
  • Model selection, dimensionality reduction, relational/structured learning, matrix and tensor methods, probabilistic and statistical methods
  • Models and algorithms, asymptotic analysis
  • Classification, clustering, regression, semi-supervised and unsupervised learning
  • Deep learning, meta-learning, reinforcement learning
  • Fairness, interpretability, and robustness
  • Personalization, security and privacy, visualization