Graph-based approach for outlier detection in sequential data and its application on stock market and weather data

Outlier detection has a large variety of applications ranging from detecting intrusion in a computer network, to forecasting hurricanes and tornados in weather data, to identifying indicators of potential crisis in stock market data, etc. The problem of finding outliers in sequential data has been w...

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Vydané v:	Knowledge-based systems Ročník 61; s. 89 - 97
Hlavní autori:	Rahmani, Ali, Afra, Salim, Zarour, Omar, Addam, Omar, Koochakzadeh, Negar, Kianmehr, Keivan, Alhajj, Reda, Rokne, Jon
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2014
Predmet:	Algorithms Climatology Computer networks Construction Data mining Graph-based algorithm Markets Outlier detection Raw materials Stock market Weather Weather data Outlier detection Data mining Stock market Graph-based algorithm Weather data
ISSN:	0950-7051, 1872-7409
On-line prístup:	Získať plný text
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