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Algorithms for Mining Distance-Based Outliers in Large Datasets
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in areas such asExpand
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Distance-based outliers: algorithms and applications
Abstract. This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in areas suchExpand
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  • 38
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Finding Intensional Knowledge of Distance-Based Outliers
  • 464
  • 20
  • PDF
A Unified Notion of Outliers: Properties and Computation
As said in signal processing, "One person's noise is another person's signal." For many applications, such as the exploration of satellite or medical images, and the monitoring of criminal activitiesExpand
  • 311
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Algorithms for distance-based outliers in large databases
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A unified approach for mining outliers
This paper deals with finding outliers (exceptions) in large datasets. The identification of outliers can often lead to the discovery of truly unexpected knowledge in areas such as electronicExpand
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Distance-based outliers in large data sets
  • 33
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Finding Aggregate Proximity Relationships and Commonalities in Spatial Data Mining
  • E. Knorr, R. Ng
  • Computer Science
  • IEEE Trans. Knowl. Data Eng.
  • 1 December 1996
Studies two spatial knowledge discovery problems involving proximity relationships between clusters and features. The first problem is: given a cluster of points, how can we efficiently find featuresExpand
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Finding Boundary Shape Matching Relationships in Spatial Data
This paper considers a new kind of knowledge discovery among spatial objects—namely that of partial boundary shape matching. Our focus is on mining spatial data, whereby many objects called featuresExpand
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