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VLIZ Special Publication,</i> 37: pp. 187-192","DocTypID":17,"DocType":"Book chapters","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Zhuang, W.; Zhang, Y.; Grassle, J.F.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Zhuang, W.; Zhang, Y.; Grassle, J.F.","Englishabstract":"Common data quality problems observed in OBIS are described.  BSCAN, a density-based clustering algorithm for large spatial data bases is employed to identify  geographical outliers in federated data from a public Web service on the OBIS Portal. The algorithm is shown to be effective and efficient for this purpose. 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