Multi-Source Learning in a 3G Network
作者： Ylva Ersvik
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摘要: By 2020 the world is expected to generate 50 times amount of data it did in 2011, and much this increased information will be carried over a mobile network. Understanding network can assist mitigating threats performance such as congestion help management allocation resources. This master’s thesis aims investigate what extent through understood its real-world context, whether anomalous patterns profile explained using external sources. We constructed topic models LDA for Twitter stream London modeled how topics’ relative importance changed time. examined three points studied their correlation with proportions current weather information. The model performed poorly due difficulty processing multifaceted. corpus. acknowledge need refine model, include additional textual sources, understand different types present together causes. Such an understanding would allow more targeted analysis relation real world.
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