In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
The time required for a sequence of operations on a data structure is usually measured in terms of the worst possible such sequence. This, however, is often an overestimate of the ...
The presented paper deals with a generic process for road network selection based on data enrichment and structure detection. The first step is to detect significant structures and...
We propose an object-oriented (OO) formulation and implementation of lazy/delayed evaluation by reusing and extending an existing linear recursive structure (LRS) framework with t...