Synergies of Soft Computing and Statistics for Intelligent Data Analysis

Synergies of Soft Computing and Statistics for Intelligent Data Analysis

In recent years there has been a growing interest to extend classical methods for data analysis. The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance. Such extensions of classical probability theory and statistics are useful in many real-life situat...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Άλλοι συγγραφείς:	Kruse, Rudolf (Επιμελητής έκδοσης), Berthold, Michael R. (Επιμελητής έκδοσης), Moewes, Christian (Επιμελητής έκδοσης), Gil, María Ángeles (Επιμελητής έκδοσης), Grzegorzewski, Przemysław (Επιμελητής έκδοσης), Hryniewicz, Olgierd (Επιμελητής έκδοσης)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:	Advances in Intelligent Systems and Computing, 190
Θέματα:	Engineering. Artificial intelligence. Computational intelligence. Computational Intelligence. Artificial Intelligence (incl. Robotics).
Διαθέσιμο Online:	Full Text via HEAL-Link

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