Efficient event prediction in an IOT environment based on LDA model and support vector machine
S Dami, M Yahaghizadeh - 2018 6th Iranian Joint Congress on …, 2018 - ieeexplore.ieee.org
The internet of things (IOT) environments are constantly changing, so that in such
environments cannot be guaranteed exactly analyze and predict the events occurrence.
Prediction of such events in IOT environments is a challenging task. In the meantime,
support vector machine (SVM) efficiently performs nonlinear data analysis using kernel trick,
implicitly mapping their inputs into high-dimensional feature spaces. When dealing with the
high-dimensional data, it is commonly to ignore the semantic relation between features with …
environments cannot be guaranteed exactly analyze and predict the events occurrence.
Prediction of such events in IOT environments is a challenging task. In the meantime,
support vector machine (SVM) efficiently performs nonlinear data analysis using kernel trick,
implicitly mapping their inputs into high-dimensional feature spaces. When dealing with the
high-dimensional data, it is commonly to ignore the semantic relation between features with …
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