Outlier Detection for Data Streams

Name: Outlier Detection for Data Streams
Brand: LAP Lambert Academic Publishing
SKU: 9783846591222
Price: 325.63 RON
Availability: InStock

Data Streams don't wait for processing

Autor: Shiblee Sadik

Limbă:

Legare: Carte broșată

Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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325.63 lei

Outlier detection is a well established area of study for statistical data. However, most of the exi...

Informații despre carte

Autor

Shiblee Sadik

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2011

Pagini

200

EAN

9783846591222

Enbook ID

07083097

Editura

LAP Lambert Academic Publishing

Greutate

314

Dimensiuni

150 x 220 x 12

Descriere completă

Outlier detection is a well established area of study for statistical data. However, most of the existing outlier detection techniques are designed targeting the regular data model, where the entire dataset is available for random access. Typical outlier detection techniques construct a standard data distribution or model from the entire dataset and execute their detection algorithms over each data point. Evidently these techniques are not suitable for online data streams where the entire dataset, due to its unbounded volume, is not available for random access. Moreover, the data distribution in data streams change over time which challenges the existing outlier detection techniques that assume a constant standard data distribution for the entire dataset. In addition, data streams are characterized by uncertainty which imposes further complexity. In this work we propose two outlier detection techniques, called Distance Based Outline Detection for Data Streams (DB-ODDS) and Automatic Outlier Detection for Data Streams (A-ODDS). Both techniques are based on a novel continuously adaptive data distribution function that addresses all the issues of data streams.

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Outlier Detection for Data Streams

Data Streams don't wait for processing

Informații despre carte

Descriere completă

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