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, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic.

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