We focus on mixtures of factor analyzers from the perspective of a method for model-based density estimation from high-dimensional data, and hence for the clustering of such data. This approach enables a normal mixture model to be fitted to a sample of n data points of dimension p, where p is...

Process modeling has gained prominence in the information systems modeling area due to its focus on business processes and its usefulness in such business improvement methodologies as Total Quality Management, Business Process Reengineering, and Workflow Management. However, process modeling...

Much research has been devoted over the years to investigating and advancing the techniques and tools used by analysts when they model. As opposed to what academics, software providers and their resellers promote as should be happening, the aim of this research was to determine whether...