Abstract. Knowledge Discovery in Databases KDD is currently a hot topic in industry and academia. Although KDD is now widely accepted as a complex process of many di erent phases, the focus of research b ehind most emerging products is on underlying algorithms and modelling techniques. The main bottleneck for KDD applications is not the lack o f techniques. The challenge is to exploit and combine existing algorithms e ectively, and help the user during all phases of the KDD process. In this paper, we describe the project Citrus which addresses these practically relevant issues. Starting from a commercially a v ailable system, we develop a scaleable, extensible tool inherently based on the view of KDD as an interactive and iterative process. We s k etch the main components of this system, namely an information manager for e ective retrieval of data and results, an execution server for e cient execution, and a process support interface for guiding the user through the process.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.