The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore 2020
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications.
Most Influential Paper Award Talk
Session #A3 (Representation Learning (2) + Scientic Data + Privacy/Security)
Session #B3 (Sequential/Dynamic Data + Recommendation System (2) + Novel Algorithm)
Session #A1 (Classication (1) + Unstructured Data)
Session #B4 (Anomaly Detection + Feature Extraction)
Session #A6 (Spatial Data + Imbalanced Data + Recommendation System (3))
Session #A2 (Clustering + Recommendation System (1))
Session #B2 (Representation Learning (1) + Application)
Session #A4 (Association + Statistical Learning + Classication (2))
Session #B5 (Behavior Data + Multi-Source data + Deep Learning (1))
Session #A5 (Graph/Network/Social Data + Parallel/Distributed Mining)
Session #B6 (Deep Learning (2))
Session #B1 (Supervised Learning)
Workshop on Data Science for Fake News (DSFN 2020)
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