In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspects of the fault profile of a set of cars in a large automotive database. While successful, the initial implementation was limited in various ways. In this paper, we report recent progress focusing on performance gains we achieved through proper process-bas...

Flickr presents an abundance of geotagged photos for data mining. Particularly, we propose the concept of extracting spatio-temporal meta data from Flickr photos, combining a collection of such photos together results in a spatio-temporal entity movement trail, a trajectory describing an individual’s movements. Using these spatio-temporal Flickr photographer trajectories we aim to extract valua...

---A large number of contributions in the literature have been proposed for item set mining, exploring various measures according to the chosen relevance criteria. However, items are actually different in many aspects in a number of real applications, such as retail marketing, network log, etc. The difference between items makes a strong impact on the decision making in these applications. Ther...

Association Rule Mining (ARM) is a well-studied technique that identifies frequent itemsets from datasets and generates association rules by assuming that all items have the same significance and frequency of occurrence without considering their utility. But in a number of real-world applications such as retail marketing, medical diagnosis, client segmentation etc., utility of itemsets is based...