Large collections of electronic patient records provide a vast but still underutilised source of
information on the real world use of medicines. They are maintained primarily for the …

As frequent pattern mining plays an essential role in many knowledge discovery and data
mining (KDD) tasks, numerous algorithms for finding frequent patterns have been proposed …

We introduce a novel pattern discovery methodology for event history data focusing explicitly
on the detailed temporal relationship between pairs of events. At the core is a graphical …

Over the past 15 years, numerous algorithms have been proposed for frequent pattern
mining as it plays an essential role in many knowledge discovery and data mining (KDD) …

Numerous algorithms have been proposed since the introduction of the research problem of
frequent pattern mining. Such a research problem has played an essential role in many …

In the field of software visualization controlled experiments are an important instrument to
investigate the specific reasons, why some software visualizations excel the expectations on …

Modern nonlinear dimensionality reduction (DR) techniques project high dimensional data
to low dimensions for their visual inspection. Provided the intrinsic data dimensionality is …

As acquiring and retaining the most profitable customers are challenging tasks of service
providers, various CRM tools are used to support these processes. Traditional CRM …

Let's review what we have discussed thus far. In Chapter 1 we learned the basics: what is M
& S, what are models, what are simulations. Chapter 2 emphasized the role of modeling and …