Corpus ID: 202727309

Uncovering Perpetual Patterns in Mobile App Use by Deep Visualization of Hand-Engineered Features

@inproceedings{Noor2019UncoveringPP,
  title={Uncovering Perpetual Patterns in Mobile App Use by Deep Visualization of Hand-Engineered Features},
  author={M. A. Noor and G. Kaptan and V. Cherukupally and Parush Gera},
  year={2019}
}

M. A. Noor, G. Kaptan, +1 author Parush Gera

Published 2019

This paper provides a discussion on the representation of mobile app usage activity as images to uncover perpetual patterns of behavior. Our goal is to provide a novel methodology in which consistent patterns of behavior are learned via convolutional neural networks (CNNs) by providing the networks with hand-engineered features in image format. Our hand-engineered features encode daily app usage behaviors in terms of frequency; in isolation, such hand-engineered features generally only allow… CONTINUE READING

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