Frequent subgraph mining is a core graph operation used in many domains, such as graph
data management and knowledge exploration, bioinformatics, and security. Most existing …

Many real-world graphs have complex labels on the nodes and edges. Mining only exact
patterns yields limited insights, since it may be hard to find exact matches. However, in many …

Frequent graph mining algorithms commonly use graph isomorphism to identify occurrences
of a given pattern, but in the last years, a few works have focused on the case where a …

Mining big graph data is an important problem in the graph mining research area. Although
cloud computing is effective at solving traditional algorithm problems, mining frequent …

The significant business requirement for organizations utilizing technology-based services is
the production of appropriate services and applications according to business needs, and …

Integrated logistics support (ILS) and asset management (AM) are two concepts associated
with the life cycle of a physical asset. Each of them has an objective of optimising the life …

Increasingly complex IT environments, requirements, and organizations in IT service
management make the development of advanced predictive technologies necessary …

In psychology, goal-setting theory, which has been studied by psychologists for over 35
years, reveals that goals play significant roles in incentive, action and performance for …

Accurate prediction of process execution time in IT Service Management (ITSM) is essential
for service providers to meet service-level agreements (SLA). However, traditional pre …

With the increasing popularity of various social networking sites, there is an explosive
growth in data associated with these, so mining big data has become an important problem …