KDD is a complex and demanding task. While a large number of methods has been
established for numerous problems, many challenges remain to be solved. New tasks emerge …

Natural products represent a rich reservoir of small molecule drug candidates utilized as
antimicrobial drugs, anticancer therapies, and immunomodulatory agents. These molecules are …

We present a freely available benchmark dataset for audio classification and clustering. This
dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband site. …

The overt DIC score of the DIC subcommittee of the ISTH includes a fibrin-related marker (FRM)
as indicator of intravascular fibrin formation. The type of marker to be used has not been …

Rotational grazing management strategies have been promoted as a way to improve the
sustainability of native grass-based pasture systems. From disturbance ecology theory, …

In this work we propose a novel, sound framework for evolutionary feature selection in
unsupervised machine learning problems. We show that unsupervised feature selection is …

Objective An abnormality of the optical transmission waveform obtained during measurement
of the activated partial thromboplastin time (aPTT) has been described in association with …

Knowledge exchange between heterogeneous communities of practice has been recognized
as the critical source of innovation and creation of new knowledge. This paper considers …

Large-scale critical infrastructures such as transportation, energy, or water distribution networks
are increasingly equipped with smart sensor technologies. Low-latency analytics on the …

This paper presents an agent-based approach to semantic exploration and knowledge
discovery in large information spaces by means of capturing, visualizing and making usable …