Abstract Data Mining and Knowledge Discovery in Databases (KDD) is a research field
concerned with deriving higher-level insights from data. The tasks performed in that field are …

With the proliferation of online services and mobile technologies, the world has stepped into
a multimedia big data era. A vast amount of research work has been done in the multimedia …

Lots of data from different domains are published as Linked Open Data (LOD). While there
are quite a few browsers for such data, as well as intelligent tools for particular purposes, a …

Background What is a healthy microbiome? The pursuit of this and many related questions,
especially in light of the recently recognized microbial component in a wide range of …

The provision of the heterogeneous information acquisition and managing of emerging
technologies with IoT, cloud-based storage, and improved communication services have …

Objectives Quantification and early identification of unplanned readmission risk have the
potential to improve the quality of care during hospitalization and after discharge. However …

Feature selection is an important and challenging task in machine learning and data mining.
In many practical problems, the classes have a hierarchical structure. However, some …

For many years, the role played by domain knowledge in all stages of knowledge discovery
has been recognized. However, the real‐world semantics embedded in data is often still not …

Linked Open Data has been recognized as a valuable source for background information in
data mining. However, most data mining tools require features in propositional form, ie …

Hierarchical feature selection is a new research area in machine learning/data mining,
which consists of performing feature selection by exploiting dependency relationships …