Energy Efficiency Data Mining for Wireless Sensor Networks Based on Random Forests

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Provided by: AICIT
Topic: Big Data
Format: PDF
In this paper, the authors propose a novel data mining technique involving random forests and random trees for energy efficiency for forest cover type classification. Novel machine learning and data mining techniques provide an unprecedented opportunity to monitor and characterize physical environments, such as forest cover type, using low cost wireless sensor networks. However, given the sheer amount of data collected by the wireless sensor networks, conventional classification schemes that demand enormous storage and computation requirements make them less effective for deployment in real world application scenarios.
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