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- W122025053 abstract "This report concerns ISC-tool, a tool for classification of patterns and detection of anomalous patterns, where a pattern is a set of values. The tool has a graphical user interface the anomalo-meter that shows degree of anomaly of a pattern and how it is classified. The report describes user interaction with tool and underlying statistical methods used, which basically are Bayesian inference for finding expected or predictive distributions for clusters of patterns and using these distributions for classifying and assessing a degree of anomaly to a new pattern. The report also briefly discusses what in general are appropriate methods for clustering and anomaly detection. The project has been supported by SSF via Butler2 programme." @default.
- W122025053 created "2016-06-24" @default.
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- W122025053 date "2008-01-31" @default.
- W122025053 modified "2023-09-25" @default.
- W122025053 title "Incremental stream clustering and anomaly detection" @default.
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