The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Searching for multiple string patterns in a stream of data is a computationally expensive task. The speed of the search pattern module determines the overall performance of deep p...
To ensure the operability and reliability of large scale Enterprise Resource Planning Systems (ERP) and enterprise services, a peak-load oriented hardware sizing is often used, wh...
Valentin Nicolescu, Martin Wimmer, Raphael Geissle...
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...