We study the fundamental limitations of relational algebra (RA) and SQL in supporting
sequence and stream queries, and present effective query language and data model …

Mobile devices are becoming very popular in recent years, and large amounts of trajectory
data are generated by these devices. Trajectories left behind cars, humans, birds or other …

Inductive databases tightly integrate databases with data mining. The key ideas are that data
and patterns (or models) are handled in the same way and that an inductive query language …

Data mining on large data warehouses is becoming increasingly important. In support of this
trend, we consider a spectrum of architectural alternatives for coupling mining with database …

Association rules are one of the most used tools to discover relationships among attributes
in a database. Nowadays, there are many efficient techniques to obtain these rules …

An approach to defining actionability as a measure of interestingness of patterns is
proposed. This approach is based on the concept of an action hierarchy which is defined as …

We introduce the Boolean inductive query evaluation problem, which is concerned with
answering inductive queries that are arbitrary Boolean expressions over monotonic and anti …

The term knowledge discovery in databases or KDD, for short, was coined in 1989 to refer to
the broad process of finding knowledge in data, and to emphasize the “high-level” …

El explosivo crecimiento en los volúmenes de los datos y las bases de datos que superan
los métodos tradicionales de análisis basados en hojas de cálculo y consultas ad-hoc [11] …

Association rules are a class of important regularities in databases. They are found to be
very useful in practical applications. However, the number of association rules discovered in …