Abstract
Nowadays, we witness plethora of mobile applications running on smartphones. These mobile applications, whether native/inbuilt or web applications, face battery and processing power bottleneck. Thus, analyzing the energy consumption and RAM usage of these mobile applications become imperative, for making these applications work in longer run. The paper adopts a multi-label classification approach to study the effect of various contributory factors on energy consumption and RAM usage of mobile applications.
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Gupta, P., Sharma, T.K., Mehrotra, D. (2019). Label Powerset Based Multi-label Classification for Mobile Applications. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 742. Springer, Singapore. https://doi.org/10.1007/978-981-13-0589-4_62
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DOI: https://doi.org/10.1007/978-981-13-0589-4_62
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