Data Mining and Fusion Framework for In-Home Monitoring Applications
Idongesit Ekerete,
Matias Garcia-Constantino,
Christopher Nugent
et al.
Abstract:Sensor Data Fusion (SDT) algorithms and models have been widely used in diverse applications. One of the main challenges of SDT includes how to deal with heterogeneous and complex datasets with different formats. The present work utilised both homogenous and heterogeneous datasets to propose a novel SDT framework. It compares data mining-based fusion software packages such as RapidMiner Studio, Anaconda, Weka, and Orange, and proposes a data fusion framework suitable for in-home applications. A total of 574 pr… Show more
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