An end user development model to augment usability of rule association mining systems

Abstract

One of the main challenges to a broader use of association rules data mining systems is their usability. In this paper we propose the End User Development Conceptual Model aimed at enabling the user to customize the interface of rule mining systems and create domain and problem specific queries. To do so, the user must be an expert user, both in the domain and system use (which usually requires knowledge of data mining technical concepts). The goal of the expert user is to create an abstract interface level that will allow a domain expert, with no knowledge of data mining, to use the system in specific problem situations. Thus, expert users can be perceived as co-designers of the system. An initial assessment of the model's usefulness and implementation feasibility was made. © 2008 Springer Science+Business Media, LLC.