Optimizing copious activity type classes based on classification accuracy and entropy retention

Optimizing copious activity type classes based on classification accuracy and entropy retention

Despite the advantages, big transport data are characterized by a considerable disadvantage as well. Personal and activity-travel information are often lacking, making it necessary to deduce this information with data mining techniques. However, some studies predict many unique activity type classes...

Полное описание

Библиографические подробности
Главные авторы:	Ectors, W, Reumers, S, Do Lee, WD, Kochan, B, Janssens, D, Bellemans, T, Wets, G
Формат:	Journal article
Язык:	English
Опубликовано:	Elsevier 2018

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