Graph-based pattern mining encompasses a suite of computational methods designed to discover recurring substructures within graph-structured data. These techniques involve systematically enumerating ...
In many real time applications such as sensors monitoring systems, location based systems etc. data uncertainty is inherent. The uncertainty may occur as a result of evaluation errors. This ...
Data mining for pattern discovery encompasses a suite of computational methods designed to extract meaningful regularities from large and complex datasets. Core approaches include frequent itemset ...