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