000K  utf8
1100  $c2011
1500  eng
2050  urn:nbn:de:101:1-201202285459
3000  Sivogolov, Elena
4000  Evaluation of Impact of Data Quality on Clustering with Syntactic Cluster Validity Methods  [Sivogolov, Elena]
4209  In this research the influence of four most commonly used data quality dimensions (accuracy, completeness, consistency and timeliness) on clustering outcomes was studied. Statistical significant negative effect of low data quality levels on results of different clustering algorithms was demonstrated. The relationship between Data Quality concepts and clustering concepts were constructed and some recommendations on usage of clustering algorithms with respect to data quality level were made.
4950  https://nbn-resolving.org/urn:nbn:de:101:1-201202285459$xR$3Volltext$534
4961  https://macau.uni-kiel.de/receive/macau_mods_00001814
5051  004