Intention Recognition from Spatio-Temporal Representation of EEG Signals -- Adaptive Graph Learning for Semi-Supervised Classification of GCNs -- Semi-Supervised Feature Selection Based on Cost-Sensitive and Structural Information -- Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment -- Deep Multi-View Spatio-Temporal Network for Urban Crime Prediction -- Experimental Analysis of Locality Sensitive Hashing Techniques for High-Dimensional Approximate Nearest Neighbor Searches -- ANSWER: Generating Information Dissemination Network on Campus -- Twitter Data Modelling and Provenance Support for Key-Value Pair Databases -- Analyzing Tweets to Understand Factors Affecting Opinion on Climate Change -- Optimal Placement of Taxis in a City Using Dominating Set Problem -- Adaptive Fault Diagnosis for Data Replication Systems -- Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning -- A Real Time Analysis of Offensive Texts to Prevent Cyberbullying -- An Experimental Study on Exact Multi-Constraint Shortest Path Finding -- The Effect of Regional Economic Clusters on Housing Price -- Modeling Daily Crime Events Prediction Using Seq2Seq Architecture.

This book constitutes the refereed proceedings of the 32nd Australasian Database Conference, ADC 2021, held in Dunedin, New Zealand, in January/February 2021. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The Australasian Database Conference is an annual international forum for sharing the latest research advancements and novel applications of database systems, data-driven applications, and data analytics between researchers and practitioners from around the globe, particularly Australia and New Zealand. ADC shares novel research solutions to problems of todays information society that fullfil the needs of heterogeneous applications and environments and to identify new issues and directions for future research and development work.