Temporal data analysis in data warehouses and data streaming systems often uses time decay to reduce the importance of older tuples, without eliminating their influence, on the res...
Graham Cormode, Vladislav Shkapenyuk, Divesh Sriva...
In its basic form, a variability model describes the variations among similar artifacts from a structural point of view. It does not capture any information about when these variat...
Christoph Elsner, Goetz Botterweck, Daniel Lohmann...
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
Christian Boucheny, Richard R. Carrillo, Eduardo R...
Timing-based active watermarking schemes are developed to trace back attackers through stepping stone connections or anonymizing networks. By slightly changing packet timing, thes...
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...