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Publications: Decomposition

SD-HOC: Seasonal Decomposition Algorithm for Mining Lagged Time Series

Mining time series data is a difficult process due to the lag factor and different time of data arrival. In this paper, we present Seasonal Decomposition for Human Occupancy Counting (SD-HOC), a c

Decomposition Mining Lagged TimeSeries time series

A Scalable Room Occupancy Prediction with Transferable Time SeriesDecomposition of CO\(_\mbox2\) Sensor Data

Human occupancy counting is crucial for both space utilisation and building energy optimisation. In the current article, we present a semi-supervised domain adaptation method for carbon dioxide - H

Scalable Room Occupancy Prediction Time Series Decomposition Occupancy Scalable time series Decomposition Occupancy Prediction

Keywords

sensor [21]
mobile [12]
behaviour [10]
Occupancy Prediction [9]
Pattern recognition [9]
trajectory [9]
Analysis [9]
Sensor Data [8]
context [8]
time series [8]

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Publications: Decomposition

SD-HOC: Seasonal Decomposition Algorithm for Mining Lagged Time Series

A Scalable Room Occupancy Prediction with Transferable Time SeriesDecomposition of CO\(_\mbox2\) Sensor Data