Name
Title | ||
|---|---|---|
A Data Warehouse-Based Approach for Quality Management, Analysis and Evaluation of Intelligent Systems using Subgroup Mining |
Abstract | ||
|---|---|---|
Quality management, analysis and evaluation of intelligent systems are important tasks. This paper proposes a data min- ing approach based on the technique of subgroup mining uti- lizing a data warehouse that contains data from the respec- tive intelligent system to be evaluated and from other external sources. The context of our work is given by an intelligent documentation and consultation system in the medical do- main of sonography. For demonstrating the applicability and benefit of the presented approach, we provide several real- world examples of a case-study applying the approach in the medical domain of sonography. |
Year | Venue | Keywords |
|---|---|---|
2009 | the florida ai research society | quality management,data warehouse |
Field | DocType | Citations |
Data warehouse,Consultation system,Intelligent decision support system,Software engineering,Computer science,Artificial intelligence,Documentation,Quality management,Database,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Atzmüller | 1 | 210 | 23.00 |
| Frank Puppe | 2 | 649 | 99.50 |
| Stephanie Beer | 3 | 0 | 0.34 |