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

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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 develop...

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ग्रंथसूची विवरण
मुख्य लेखक:	Kovacevic, Ana (auth)
अन्य लेखक:	Urosevic, Vladimir (auth), Kaddachi, Firas (auth)
स्वरूप:	इलेक्ट्रोनिक पुस्तक अध्याय
भाषा:	अंग्रेज़ी
प्रकाशित:	InTechOpen 2018
विषय:	Data mining temporal clustering, IoT, smart cities, behavior recognition, anomaly detection
ऑनलाइन पहुंच:	DOAB: download the publication DOAB: description of the publication
टैग:	टैग जोड़ें कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!

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