Chapter Temporal Clustering for Behavior Variation and Anomaly Detection from Data Acquired Through IoT in Smart Cities

In this chapter, we propose a methodology for behavior variation and anomaly detection from acquired sensory data, based on temporal clustering models. Data are collected from five prominent European smart cities, and Singapore, that aim to become fully “elderly-friendly,” with the development and d...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Kovacevic, Ana, Urosevic, Vladimir, Kaddachi, Firas
Формат:	Online
Хэл сонгох:	англи
Хэвлэсэн:	InTechOpen 2021
Нөхцлүүд:	temporal clustering, IoT, smart cities, behavior recognition, anomaly detection thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
Онлайн хандалт:	ONIX_20210602_10.5772/intechopen.75203_392
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!