The popularization of both virtualization and CDP technologies mean that we can now watch disk accesses of systems from entities which are not controlled by the OS. This is a rich...
Naama Parush, Dan Pelleg, Muli Ben-Yehuda, Paula T...
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
SCALASCA is a performance toolset that has been specifically designed to analyze parallel application execution behavior on large-scale systems. It offers an incremental performan...
Markus Geimer, Felix Wolf, Brian J. N. Wylie, Erik...
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...