In recent years, with the emergence of online social networks and the growing interest in genetics and biological networks, the research community has been tasked with analyzing knowledge extracted from multirelational datasets. Such analysis, generally known as Knowledge Discovery in Databases (KDD), is concerned with the computer aided discovery of useful knowledge in databases. An example of the extracted knowledge would be user interest data which improves the accuracy on viewing and predicting market trends, and allows for enriched customization and customer targeting.