Abstract
This paper proposes an algorithm, to enhance the prediction accuracy of inhabitant activities in smart home networks. This work is an enhancement to SPEED [1], which was earlier drawn upon [2,3]. It works with the nested episodes of activity sequences along with the innermost episodes to generate user activity contexts. For a given sequence, our approach on an average predicts 86 percent accurately, which is much better than SPEED’s 59 percent accuracy.
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References
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Vemu, K.R. (2015). Improving Activity Prediction and Activity Scheduling in Smart Home Networks for Enhanced QoS. In: Natarajan, R., Barua, G., Patra, M.R. (eds) Distributed Computing and Internet Technology. ICDCIT 2015. Lecture Notes in Computer Science, vol 8956. Springer, Cham. https://doi.org/10.1007/978-3-319-14977-6_25
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DOI: https://doi.org/10.1007/978-3-319-14977-6_25
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14976-9
Online ISBN: 978-3-319-14977-6
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