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Type | Conference or Workshop Paper |
Scope | Discipline-based scholarship |
Published in Proceedings | Yes |
Title | The effect of missing data on classification quality |
Organization Unit |
|
Authors |
|
Presentation Type | paper |
Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Language |
|
Page Range | 229 - 242 |
Event Title | 17th International Conference on Information Quality |
Event Type | conference |
Event Location | Paris, France |
Event Start Date | November 15 - 2012 |
Event End Date | November 17 - 2012 |
Place of Publication | Massachusetts, USA |
Publisher | Conservatioire national des arts et métiers |
Abstract Text | The field of data quality management has long recognized the negative impact of data quality defects on decision quality. In many decision scenarios, this negative impact can be largely attributed to the mediating role played by decision-support models - with defected data, the estimation of such a model becomes less reliable and, as a result, the likelihood of flawed decisions increases. Drawing on that argument, this study presents a methodology for assessing the impact of quality defects on the likelihood of flawed decisions. The methodology is first presented at a high level, and then extended for analyzing the impact of missing values on binary Linear Discriminant Analysis (LDA) classifiers. To conclude, we discuss possible directions for extensions and future directions. |
Free access at | Official URL |
Official URL | http://mitiq.mit.edu/ICIQ/2012/2012%20ICIQ%20CDproceedings%20final.pdf |
Related URLs | |
Other Identification Number | merlin-id:9029 |
PDF File | Download from ZORA |
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