Mining information and knowledge from large databases has been recognized by many
researchers as a key research topic in database systems and machine learning, and by …

Interestingness measures play an important role in data mining, regardless of the kind of
patterns being mined. These measures are intended for selecting and ranking patterns …

Data mining and knowledge discovery in databases have been attracting a significant
amount of research, industry, and media attention of late. What is all the excitement about …

This paper presents a first step towards a unifying framework for Knowledge Discovery in
Databases. We describe finks between data milfing, knowledge discovery, and other related …

We introduce the problem of mining association rules in large relational tables containing
both quantitative and categorical attributes. An example of such an association might be" …

Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

The main purpose of data mining and analytics is to find novel, potentially useful patterns
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …

Knowledge Discovery and Data Mining is a very dynamic research and development area
that is reaching maturity. As such, it requires stable and well-defined foundations, which are …

This paper investigates how to adapt standard classification rule learning approaches to
subgroup discovery. The goal of subgroup discovery is to find rules describing subsets of the …

This paper discusses a shift of focus in research on Cultural Heritage semantic portals,
based on Linked Data, and envisions and proposes new directions of research. Three …