Though recent advances in machine learning have led to significant improvements in natural language interfaces for databases, the accuracy and reliability of these systems remain limited, especially in high-stakes domains. This paper introduces SQLucid, ...

This paper presents a survey of digital musical score databases, focusing on symbolic representation of the music content (as opposed to audio representation) in the context of Music Information Retrieval (MIR). We first provide a primer on ...

Generalized Entity Matching (GEM) is a variant of entity matching that identifies whether entity descriptions from diverse data sources with heterogeneous data formats refer to the same real-world entity. State-of-the-art single-task fine-tuning ...${}_{\mathrm{}}$

The Causal Effect is a numerical measure used to uncover and analyze causal relationships between variables. In particular, it deals with interventions on variables and their effects in the broad areas of observational studies and structural causality. ...

Aldosterone plays a key role in the neurohormonal drive of heart failure. Systematic prioritization of drug targets using bioinformatics and database-driven decision-making can provide a competitive advantage in therapeutic R&D. This ...

• Comprehensive exploration of MR and AS druggability in heart failure through science-driven decision-making approach.
• MR has stronger predictability than AS, but their similar medians suggest similar central tendencies.
• MR exhibits ...

With ever-growing class-sizes, automated assessment can be an extremely valuable tool in higher education. In this paper, we present our tool for automatically assessing SQL programming and reflect on five years of its use. We highlight some of the ...

In column-oriented query processing, a materialization strategy determines when lightweight positions (row IDs) are translated into tuples. It is an important part of column-store architecture, since it defines the class of supported query plans, and, ...

This note serves three purposes: (i) we provide a self-contained exposition of the fact that conjunctive queries are not efficiently learnable in the Probably-Approximately-Correct (PAC) model, paying clear attention to the ...

• Conjunctive Queries (CQs) are known to be not efficiently PAC learnable. We give a self-contained exposition.

In the context of digital transformation, effective decision-making is paramount for corporate adaptability and growth. Spreadsheet software provides a familiar platform for accessing, analyzing, and visualizing data. In many instances, decision-making ...

In recent years, database education has been receiving more attention, with research in various directions such as the development of tools for education, the analysis of students’ homework, and the exploration of misconceptions. Misconceptions are ...

Large language models (LLMs), as a particular instance of generative artificial intelligence, have revolutionized natural language processing. In this invited paper, we argue that LLMs are complementary to structured data repositories such as ...

We propose OPTICS, a middleware that optimizes data transfer between the compute layer and the shared object storage in today’s cloud data processing systems. OPTICS implements four data in-teraction patterns to serve a wide spectrum of application ...

Overview and relevance: In this tutorial we focus on the interplay between operations research and database theory, i.e. on how the optimization tools from operations research can contribute to the solution of optimization problems occurring in ...

From the United States’ Health Insurance Portability and Accountability Act (HIPAA) to the European Union’s General Data Protection Regulation (GDPR), there has been an increased focus on individual data privacy protection. Because multiple ...

This paper introduces a model to store semi-structured data while documenting its semantic changes over time. The paper also presents algorithms for querying semantic evolved data, which conciliate the multiple versions the data may have. An ...

Big data is a large set of data that is analyzed with the calculation to manifest myriad sources. Big data is capable of handling various challenges to processing huge amounts of data. To handle issues based on large-scale databases, a MapReduce ...

Face recognition has become popular in the last few decades among researchers across the globe due to its applicability in several domains. This problem becomes more challenging when only a single training image is available and is popularly known ...

The recognition of facial expression in images is one of the motional states in the observing forms and is one of the most frequent non-verbal routes in which a person transfers his inner emotional expressions on faces. The recognition of facial ...

Data management systems rely on a correct design of data representation and software components. The data representation scheme plays a vital role in how the data are stored, which influences the efficiency of its processing and ...

• Presenting a graph-based data representation for healthcare information.
• The ...

Maintaining a lifelong medical record is impossible without proper standards. For an individual, different records from different sources must be brought meaningfully together for them to be of some use. To achieve this, we need a set of pre-...