%0 Conference Paper %1 HeiderAuriolTartarinManago97 %A Heider, Richard %A Auriol, Eric %A Tartarin, Emmanuelle %A Manago, Michel %B Proceedings of the Fifth German Workshop on CBR: Foundations, Systems, and Applications (Technical Report LSA-97-01E) %D 1997 %E Bergmann, Ralph %E Wilke, Wolfgang %I University of Kaiserslautern, Department of Computer Science %K imported %T Improving the Quality of Case Bases for Building Better Decision Support Systems %X Time spent by airline maintenance operators to solve engine failures and the related costs (flight delays or cancellations) are a major concern to SNECMA which manufacture engines for civilian aircraft such as BOEING 737s and Airbus A340s. The use of CBR and Data Mining software contributes to improving customer support and reduces the cost of ownership by increasing troubleshooting accuracy and reducing airplane downtime. However, CBR and Data Mining systems must obey the quality requirements of the aeronautic industry. Our aim is to both assure the quality of the core data mining and CBR software as well as the quality of the technical information that is fed into the system (case knowledge). The work achieved had helpded us improve the process by which we develop quality decision support software by obtaining better case descriptions and setting up an organization to monitor their quality. The experience gained in the aircraft industry contributes to raise the case quality culture for CBR and data mining and will enable large scale deployment of these technologies in other industries as well.

@inproceedings{HeiderAuriolTartarinManago97, abstract = {Time spent by airline maintenance operators to solve engine failures and the related costs (flight delays or cancellations) are a major concern to SNECMA which manufacture engines for civilian aircraft such as BOEING 737s and Airbus A340s. The use of CBR and Data Mining software contributes to improving customer support and reduces the cost of ownership by increasing troubleshooting accuracy and reducing airplane downtime. However, CBR and Data Mining systems must obey the quality requirements of the aeronautic industry. Our aim is to both assure the quality of the core data mining and CBR software as well as the quality of the technical information that is fed into the system (case knowledge). The work achieved had helpded us improve the process by which we develop quality decision support software by obtaining better case descriptions and setting up an organization to monitor their quality. The experience gained in the aircraft industry contributes to raise the case quality culture for CBR and data mining and will enable large scale deployment of these technologies in other industries as well.}, added-at = {2006-11-14T09:19:23.000+0100}, author = {Heider, Richard and Auriol, Eric and Tartarin, Emmanuelle and Manago, Michel}, biburl = {https://www.bibsonomy.org/bibtex/29afa31d6b5a027c41f38602ac9ea78e1/thorob67}, booktitle = {Proceedings of the Fifth German Workshop on {CBR}: Foundations, Systems, and Applications (Technical Report {LSA}-97-01E)}, editor = {Bergmann, Ralph and Wilke, Wolfgang}, interhash = {c91f73f8ead39f53fc0a2979fbeb4194}, intrahash = {9afa31d6b5a027c41f38602ac9ea78e1}, keywords = {imported}, publisher = {University of Kaiserslautern, Department of Computer Science}, timestamp = {2006-11-14T09:19:23.000+0100}, title = {Improving the Quality of Case Bases for Building Better Decision Support Systems}, year = 1997 }