Graph data is found in numerous domains such as for the analysis of social networks,
sensor networks, bioinformatics, industrial systems, and chemistry. Analyzing graphs to …

Frequent subgraph mining is a popular data mining task, which consists of finding all
subgraphs that appear in at least minsup graphs of a graph database. An important …

Mining change patterns can give unique understanding on the evolution of dynamically
changing systems like social relation graphs, weblinks, hardware descriptions and models …

With advances in technology, high volumes of valuable data of different veracity can be
generated at a high velocity in wide varieties of data sources in various real-life applications …

Software has found its way into many aspects of our everyday lives. However, the actual
development of software is known to be time-consuming, and even minor mistakes can lead …

Normally, individuals use smartphones for a variety of purposes like photography, schedule
planning, playing games, and so on, apart from benefiting from the core tasks of call-making …

Mining top-k frequent patterns is an important operation on graphs, which is defined as
finding k interesting subgraphs with the highest frequency. Most existing work assumes a …

Frequent subgraph mining is a popular data mining task, which consists of finding all
subgraphs that appear in at least minsup graphs of a graph database. An important …