Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...
1 Although processing speed, storage capacity and network bandwidth are steadily increasing, network latency remains a bottleneck for scientists accessing large remote data sets. T...
Although data integration has been a research subject for decades in the AEC (Architecture Engineering Construction) industry whose data is usually highly fragmented, nowadays we ...
Data remanence is the residual physical representation of data that has been erased or overwritten. In non-volatile programmable devices, such as UV EPROM, EEPROM or Flash, bits ar...
The goal of our research is the development of algorithms for automatic estimation of a person's verbal intelligence based on the analysis of transcribed spoken utterances. I...
Kseniya Zablotskaya, Steffen Walter, Wolfgang Mink...