Behaviour classification for temporal data with limited readings

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Behaviour classification for temporal data with limited readings

Classifying items using temporal data, i.e. several readings of the same attribute in different time points, has many applications in the real world. The pivotal question which motivates this study is: ''Is it possible to quantify behavioural change in temporal data? And what is the best r...

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Bibliographic Details
Main Author:	Fattah, Polla
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2017
Subjects:	behaviour change behaviour classification economics public goods game stock market game computer simulation machine learning
Online Access:	https://eprints.nottingham.ac.uk/44677/

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