This paper provides a survey of the state-of-the-art and future directions of one of the most
important emerging technologies within business analytics (BA), namely prescriptive …

The growing popularity and development of data mining technologies bring serious threat to
the security of individual,'s sensitive information. An emerging research topic in data mining …

A goal of software engineering research is advancing software quality and the success of
the software engineering process. However, while recent studies have demonstrated a new …

This work reviews how database theory uses tractable circuit classes from knowledge
compilation. We present relevant query evaluation tasks, and notions of tractable circuits …

Data cleaning is widely regarded as a critical piece of machine learning (ML) applications,
as data errors can corrupt models in ways that cause the application to operate incorrectly …

Most visualizations today are produced by retrieving data from a database and using a
specialized visualization tool to render it. This decoupled approach results in significant …

As the need for machine learning (ML) increases rapidly across all industry sectors, there is
a significant interest among commercial database providers to support" Query 2.0", which …

We study the problem of Query Reverse Engineering (QRE), where given a database and
an output table, the task is to find a simple project-join SQL query that generates that table …

How-To queries answer fundamental data analysis questions of the form:" How should the
input change in order to achieve the desired output". As a Reverse Data Management …

This work considers why-not questions in the context of top-k queries and score-based
ranking functions. Following the popular linear scalarization approach for multi-objective …