The role of data in building AI systems has recently been significantly magnified by the
emerging concept of data-centric AI (DCAI), which advocates a fundamental shift from model …

SQL is a typical query language for performing data analytics. Although its usage is
ubiquitous, learners experience that query formulation in SQL is error-prone and time …

Systematic reviews (SRs) are vital to gathering and structuring knowledge, yet descriptions
of their procedures are often inadequate. In human–computer interaction (HCI), SRs are still …

Background Artificial intelligence–generated content (AIGC) has stepped into the spotlight
with the emergence of ChatGPT, making effective use of AIGC for education a hot topic …

Tables are a ubiquitous data format for insight communication. However, transforming data
into consumable tabular views remains a challenging and time-consuming task. To lower …

The energy consumption of machine learning applications and their impact on the
environment has recently gained attention as a research area, focusing on the model …

Query Visualization (QV) is the problem of transforming a given query into a graphical
representation that helps humans understand its meaning. This task is notably different from …

Augmenting text-based programming with rich structured interactions has been explored in
many ways. Among these, projectional editors offer an enticing combination of structure …

Distributed query processing systems such as Apache Hive and Spark are widely-used in
many organizations for large-scale data analytics. Analyzing and understanding the query …

Visualization languages help to standardize the process of designing effective
visualizations, one of the most prominent being D3. However, few researchers have …