Modern automobiles are no longer mere mechanical devices; they are pervasively
monitored and controlled by dozens of digital computers coordinated via internal vehicular …

With ever-increasing amounts of graph data from disparate sources, there has been a strong
need for exploiting significant graph patterns with user-specified objective functions. Most …

lazar (lazy structure–activity relationships) is a modular framework for predictive toxicology.
Similar to the read across procedure in toxicological risk assessment, lazar creates local …

Graph mining is a well-explored area of research where frequent subgraph discovery is an
important problem. To get an understanding of various frequent subgraph discovery …

The exponential number of possible subgraphs makes the problem of frequent subgraph
mining a challenge. The set of maximal frequent subgraphs is much smaller to that of the set …

Recent interest in graph pattern mining has shifted from finding all frequent subgraphs to
obtaining a small subset of frequent subgraphs that are representative, discriminative or …

Graph mining and management has become a popular area of research in recent years
because of its numerous applications in a wide variety of practical fields, including …

With ever-growing popularity of social networks, web and bio-networks, mining large
frequent patterns from a single huge network has become increasingly important. Yet the …

Graphs are prevalent in many domains such as Bioinformatics, social networks, Web and
cyber-security. Graph pattern mining has become an important tool in the management and …

Graph pattern mining becomes increasingly crucial to applications in a variety of domains
including bioinformatics, cheminformatics, social network analysis, computer vision and …