Collections and calls for papers

Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can make database more intelligent (AI4DB). For example, traditional empirical database optimization techniques (e.g., c...

This special issue seeks to unite researchers in the development of foundation models tailored for Social Network Analysis (SNA). The objective is to enhance the efficiency, accuracy, and understanding of SN...

Australasian Data Science and Machine Learning (AusDM) Conference has established itself as the premier Australasian meeting for both practitioners and researchers in the areas of data science and machine le...

Selected Papers from the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023)

Web-scale Distributed and Cloud Computing, Recommender Systems Deep/Hidden Web, Clickstream Analytics, Rich Web UI and HCI, Semantic Web Machine Learning for the Web, Linked Open Data, Human Factors and Soci...

Time-series is a common data modality wherein a set of data points are associated with timestamps. The timestamps provide a critical context for each data point in how they relate to others. Time-series data...

Data Science deals with intelligent and systematic methods, processes, algorithms, tools, techniques and systems to extract unseen and meaningful insights from vast volumes of data. As an interdisciplinary f...