We propose a partitioning scheme for similarity search indexes that is called Maximal Metric Margin Partitioning (MMMP). MMMP divides the data on the basis of its distribution pat...
The collection of behavior protocols is a common practice in human factors research, but the analysis of these large data sets has always been a tedious and time-consuming process....
Walter C. Mankowski, Peter Bogunovich, Ali Shokouf...
Rule bases are increasingly being used as repositories of knowledge content on the Semantic Web. As the size and complexity of these rule bases s, developers and end users need met...
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
For most mobile networks, providers need the current position of their users to provide efficient service. The resulting motion data is not only an invaluable source for analyzing...
Sebastian Kay Belle, Marcel Waldvogel, Oliver Haas...