Anomaly detection is an important problem with multiple applications, and thus has been
studied for decades in various research domains. In the past decade there has been a …

Community detection is a common problem in graph data analytics that consists of finding
groups of densely connected nodes with few connections to nodes outside of the group. In …

Recent years have seen an explosion in graph data from a variety of scientific, social and
technological fields. From these fields, emotion recognition is an interesting research area …

The objective of this work is to detect in situ the occurrence of lack-of-fusion defects in
titanium alloy (Ti-6Al-4 V) parts made using directed energy deposition (DED) additive …

Large graphs are often used to simulate and model complex systems in various research
and application fields. Because of its importance, frequent subgraph mining (FSM) in single …

Ban‐Xia‐Xie‐Xin‐Tang (BXXXT) is a classical formula from Shang‐Han‐Lun which is one of
the earliest books of TCM clinical practice. In this work, we investigated the therapeutic …

Пропонується метод кластеризації публікацій науковців за науковими напрямами. В
рамках даного методу запропоновано два способи знаходження відстані між …

Motifs are the fundamental components of complex systems. The topological structure of
networks representing complex systems and the frequency and distribution of motifs in these …

Alignments provide sophisticated diagnostics that pinpoint deviations in a trace with respect
to a process model. Alignment-based approaches for conformance checking have so far …

Data dimensionality refers to the number of variables that are measured on each
observation. Recent trends in technology and applications result in the generation of huge …