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Label Powerset Based Multi-label Classification for Mobile Applications

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 742))

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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References

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Author information

Authors and Affiliations

  1. Amity University, Jaipur, Rajasthan, India

    Preeti Gupta & Tarun K. Sharma

  2. Amity University, Noida, Uttar Pradesh, India

    Deepti Mehrotra

Authors
  1. Preeti Gupta
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  2. Tarun K. Sharma
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  3. Deepti Mehrotra
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Corresponding author

Correspondence to Preeti Gupta .

Editor information

Editors and Affiliations

  1. Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan, Jaipur, Rajasthan, India

    Kanad Ray

  2. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Tarun K. Sharma

  3. Department of Electronics and Communication Engineering, SEEC, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

  4. Institute of Basic Science, Bundelkhand University, Jhansi, Uttar Pradesh, India

    R. K. Saini

  5. Advanced Key Technologies Division, Nano Characterization Unit, Surface Characterization Group, National Institute for Materials Science, Tsukuba, Ibaraki, Japan

    Anirban Bandyopadhyay

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

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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