Large-scale data analytics using statistical machine learning (ML), popularly called
advanced analytics, underpins many modern data-driven applications. The data …

Tables are probably the most natural way to represent relational data in various media and
formats. They store a large number of valuable facts that could be utilized for question …

Machine learning has become an essential tool for gleaning knowledge from data and
tackling a diverse set of computationally hard tasks. However, the accuracy of a machine …

Convex optimization is an essential tool for modern data analysis, as it provides a framework
to formulate and solve many problems in machine learning and data mining. However …

Populating a database with unstructured information is a long-standing problem in industry
and research that encompasses problems of extraction, cleaning, and integration. Recent …

John Boyd recognized in the 1960's the importance of situation awareness for military
operations and introduced the notion of the OODA loop (Observe, Orient, Decide, and Act) …

We focus on knowledge base construction (KBC) from richly formatted data. In contrast to
KBC from text or tabular data, KBC from richly formatted data aims to extract relations …

Closer integration of machine learning (ML) with data processing is a booming area in both
the data management industry and academia. Almost all ML toolkits assume that the input is …

The dark data extraction or knowledge base construction (KBC) problem is to populate a
SQL database with information from unstructured data sources including emails, webpages …

Many pressing questions in science are macroscopic: they require scientists to consult
information expressed in a wide range of resources, many of which are not organized in a …