Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Introducing process-aware information systems (PAIS) in enterprises is usually associated with high costs. It is therefore crucial to understand those factors that determine these ...
Bela Mutschler, Manfred Reichert, Stefanie Rinderl...
While there has been a significant amount of theoretical and empirical research on the multiple-instance learning model, most of this research is for concept learning. However, f...
For several decades there has been a debate in the computing sciences about the relative roles of design and empirical research, and about the contribution of design and research ...
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...