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A Unifying Framework for Detecting Outliers and Change Points from Time Series.

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Title: A Unifying Framework for Detecting Outliers and Change Points from Time Series.
Authors: Takeuchi, Jun-ichi, Yamanishi, Kenji
Source: IEEE Transactions on Knowledge & Data Engineering; April 2006, Vol. 18 Issue 4, p482-492, 11p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 501245236
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Unifying Framework for Detecting Outliers and Change Points from Time Series.
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  Data: <searchLink fieldCode="AU" term="%22Takeuchi%2C+Jun-ichi%22">Takeuchi, Jun-ichi</searchLink><br /><searchLink fieldCode="AU" term="%22Yamanishi%2C+Kenji%22">Yamanishi, Kenji</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Knowledge+%26+Data+Engineering%22">IEEE Transactions on Knowledge & Data Engineering</searchLink>; April 2006, Vol. 18 Issue 4, p482-492, 11p
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        Value: 10.1109/TKDE.2006.1599387
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 482
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      – TitleFull: A Unifying Framework for Detecting Outliers and Change Points from Time Series.
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            NameFull: Takeuchi, Jun-ichi
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              Text: April 2006
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              Y: 2006
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