Searching for "Outlier Detection for High Dimensional Data." – sorted by Relevance.
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Outlier detection for high dimensional data
- Outlier Detection for High Dimensional Data Charu C. Aggarwal IBM T. J. Watson Research Center
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Outlier detection based on the distribution of distances between data points
- the superiority of our approach. Key words: outlier detection, high-dimensional data, distribution of distances. 1
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Fast mining of distance-based outliers in high dimensional datasets
- distance-based outlier detection algorithm targeted at high-dimensional data sets. RBRP improves upon
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M: Cluster Analysis
- ]. For a frequent pattern-based approach to handling high-dimensional data, Beil, Ester and Xu [BEX02
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, MANUSCRIPT ID XXX 1 Efficient Semantic
- on the Web d21 1 Approximate XML Joins d32 1 Outlier Detection for High Dimensional Data d42 1 High
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