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 Data-Mining im Bereich emotionsbezogener Sensordaten. Entwicklung eines Frameworks zur Automatisierung der Datenvorverarbeitung und Klassifikation emotionsbezogener Sensordaten
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Data-Mining im Bereich emotionsbezogener Sensordaten. Entwicklung eines Frameworks zur Automatisierung der Datenvorverarbeitung und Klassifikation emotionsbezogener Sensordaten

автор Jens J. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 140        мягкая обложка       
Аннотация:Hierbei wurde darauf abgezielt, Verbesserungen in der Klassifikationsrate und - geschwindigkeit zu erreichen. Die vorliegende Arbeit konzentriert sich auf Data Mining Prozesse im Feld der Emotionserkennung und der Mensch-Maschine-Kommunikation. Es erfolgte eine Implementierung des Sequential-Floating-Forward-Search-Algorithmus (SFFS) unter Nutzung verschiedener Klassifikationsalgorithmen wie Naive Bayes oder J48 (C4. 5) in der Programmiersprache Java. Daneben wurden die temporalen und personellen Abhaengigkeiten zwischen Klassifikationserfolg und Trainings- sowie Testdaten untersucht. Weiterhin wurden Untersuchungen hinsichtlich des Klassifikationsprozesses durchgefuehrt. Das Ziel der Diplomarbeit war die Analyse, Optimierung und Automatisierung der Vorgaenge der Datenvorverarbeitung im Projekt (D)Emokoffer am Fraunhoferinstitut fuer graphische Datenverarbeitung (IGD) in Rostock.
Автор: Jens J.
Издательство: Книга по Требованию
Год:2011
Цена:
2284 руб
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Поиск: Data-Mining im Bereich emotionsbezogener Sensordaten. Entwicklung eines Frameworks zur Automatisierung der Datenvorverarbeitung und Klassifikation emotionsbezogener Sensordaten
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