Process-Based Database Support for the Early Indicator Method

In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspectsof 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-based database support. We show how intelligent managementof the information collected during a KDD process can both make the task of the user easier and speedup the execution. The central idea is to use an object oriented schemaas the central information directory to which data, knowledge, and processescan be attached. Furthermore, it enables the automatic exploitation of previously storedresults. Together with the query-shipping strategy, this achievesefficiency and scalability in order to analyzehuge databases. While we demonstratethe usefulnessof our solution in the context of the early indicator...

• Type: Conference
• Year: 1997
• Where: KDD
• Authors: Christoph Breitner, Jörg Schlösser, Rüdiger Wirth
• Keywords: Data Mining, Early Indicator, KDD 1997, Large Automotive Database.While, Proper Process-based Database