Testing of multi-threaded programs poses enormous challenges. To improve the coverage of testing, we present a framework named CONTESSA that augments conventional testing (concrete...
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
The proper usage and creation of transfer functions for time-varying data sets is an often ignored problem in volume visualization. Although methods and guidelines exist for time-i...
In the domain of logistics, Radio Frequency Identification (RFID) promises a plethora of benefits due to an enhanced efficiency, accuracy, and preciseness of object identification...
Many applications in a variety of scientific domains produce datasets that consist of a data field lying on a sampling grid that may not be uniformly spaced. However, progressive ...