Opportunity map: a visualization framework for fast identification of actionable knowledge

Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interesting and actionable rules. Due to the subjective nature of "interestingness", human involvement in the analysis process is crucial. In this paper, we propose a novel visual data mining framework for the purpose of identifying actionable knowledge quickly and easily from discovered rules and data. This framework is called the Opportunity Map. It is inspired by some interesting ideas from Quality Engineering, in particular Quality Function Deployment (QFD) and the House of Quality. It associates summarized data or discovered rules with the application objective using an interactive matrix, which enables the user to quickly identify where the opportunities are. The proposed system can be used to visually analyze discovered rules, and other statistical properties of the data. The user can also interacti...

• Type: Conference
• Year: 2005
• Where: CIKM
• Authors: Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao
• Keywords: CIKM 2005, Data Mining, Data Mining Framework, Data Mining Techniques