'Erroneous distribution data' diaporamas de présentation

Erroneous Distribution Data Identification Using Outlier Detection Techniques

Erroneous Distribution Data Identification Using Outlier Detection Techniques. W. Zhuang, Y. Zhang, J.F. Grassle Rutgers, the State University of New Jersey, USA. Overview. Review of OBIS DQ-issues Review of existing DQ methods Case study: d etecting outliers in multidimensional data

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