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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title The effect of missing data on classification quality
Organization Unit
  • Contribution from another University/Organization than University of Zurich
  • Michael Feldman
  • Adir Even
  • Yisrael Parmet
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
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.
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