Usability Issues in Data Mining Systems.
Fernando Berzal, Juan-Carlos Cubero, Nicolás Marı́n, José-Marı́a Serrano, Ignacio José Blanco · International Conference on Enterprise Information Systems · 2003
When we build data mining systems, we should reflect upon some design issues which are often overlooked in our quest for better data mining techniques. In particular, we usually focus on algorithmic details whose influence is minor when it comes to users’ acceptance of the systems we build. This paper tries to highlight some of the issues which are usually neglected and might have a major impact on our systems usability. Solving some of the usability problems we have identified would certainly add to the odds of successful data mining stories, improve user acceptance and use of data mining systems, and spur renewed interest in the development of new data mining techniques. Our proposal focuses on integrating diverse tools into a framework which should be kept coherent and simple from the user's point of view. Our experience suggests that such a framework should include bottom-up dataset -building blocks to describe input datasets, expert systems to propose suitable algorithms and adjust their parameters, as well as visualization tools to explore data, and communication and reporting services to share the knowledge discovered from the massive amounts of data available in actual databases.