Advances In Knowledge Discovery And Data Mining: 24th Pacific-asia Conference, Pakdd 2020, Singapore, May 1114, 2020, Proceedings, Part I (lecture Notes In Computer Science (12084))

Advances In Knowledge Discovery And Data Mining: 24th Pacific-asia Conference, Pakdd 2020, Singapore, May 1114, 2020, Proceedings, Part I (lecture Notes In Computer Science (12084))
Tags: Hady W. Lauw

The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, held in Singapore, in May 2020. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present 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. They are organized in the following topical sections: recommender systems classification clustering mining social networks representation learning and embedding mining behavioral data deep learning feature extraction and selection human, domain, organizational and social factors in data mining mining sequential data mining imbalanced data association privacy and security supervised learning novel algorithms mining multi-media/multi-dimensional data application mining graph and network data anomaly detection and analytics mining spatial, temporal, unstructured and semi-structured data sentiment analysis statistical/graphical model multi-source/distributed/parallel/cloud computing.