This is an overview of the end-to-end data cleaning process. Data quality is one of the most
important problems in data management, since dirty data often leads to inaccurate data …

Data quality is one of the most important problems in data management, since dirty data
often leads to inaccurate data analytics results and wrong business decisions. Poor data …

Directed acyclic graphs (DAGs) constitute a qualitative representation for conditional
independence (CI) properties of a probability distribution. It is known that every CI statement …

MSC2020: 68P15 Received July 7, 2023 Research article A er revision August 1, 2023 Full
text in Russian Accepted August 2, 2023 e paper discusses a new type of dependency in …

The population of a predefined relational schema from textual content, commonly known as
Information Extraction (IE), is a pervasive task in contemporary computational challenges …

Data dependencies are a key concept in data management and have been researched in
data integration, data quality and query optimization. With the increasing use of graph …

Big data introduces challenges to query answering, from theory to practice. A number of
questions arise. What queries are" tractable" on big data? How can we make big data" …

The population of a predefined relational schema from textual content, commonly known as
Information Extraction (IE), is a pervasive task in contemporary computational challenges …

Inclusion dependencies (INDs) form an important integrity constraint on relational
databases, supporting data management tasks, such as join path discovery and query …

Driven by the SQL standard, we investigate simple and partial inclusion dependencies
(INDs) with not null constraints. Implication of simple INDs and not null constraints is not …