A Survey on Machine Learning-Based Mobile Big Data Analysis: Challenges and Applications

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2018/8738613/figures/8738613.fig.005a.svgz" name="8738613.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>App usage behavior of Bob in temporal and spatial dimension</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2018/8738613/figures/8738613.fig.005b.svgz" name="8738613.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>App usage behavior of crowds at crowd gathering place</td></tr></table>

<div>App usage behavior in daily life: (a) the app usage behavior of an individual and (b) app usage behavior of crowds at crowd gathering places [<a href="/journals/wcmc/2018/8738613/#B50">50</a>].</div>

Wireless Communications and Mobile Computing

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Figure 5

Figure 5: A Survey on Machine Learning-Based Mobile Big Data Analysis: Challenges and Applications 