Data compaction is a new approach for lossless and lossy compression of read-only array data. The biggest advantage over existing approaches is the possibility to access compressed data without any decompression. This makes data compaction most suitable for systems that could currently not apply compression techniques due to real-time or memory constraints. This is true for the majority of all ...

The random forest (RF) algorithm is an ensemble of classification or regression trees and widely used, including for species distribution modelling (SDM). Many researchers use implementations RF in the R programming language with default parameters to analyse presence-only data together ‘background' samples. However, there good evidence that does not perform well such ‘presence-background' mode...

Process mining is an active field of research that primarily builds upon data mining and process model-driven analysis. Within the field, static data is typically used. The usage of dynamic and/or volatile data (i.e. real-time streaming data) is very limited. Current process mining techniques are in general not able to cope with challenges posed by real-time data. Hence new approaches that enab...