The idea is to automate the feature extraction technique so that machine learning algorithm can learn more effectively and efficiently from real world data.
Hi Heman,
different deep learning techniques can do that. Have a look, for example, for convolutional neural networks or autoencoders.
Greetings, Sebastian
Deep learning techniques are otherwise known as representation learning. They can automatically fetch the representations (features) from the data. So any technique can be applied to do automatic feature extraction.
Dear Heman,
I think that this question can be solved first by machine learning or by deep learning here are some papers through those links.
-Automated Parameter Optimization for Feature Extraction ... - DiVA portal
https://www.diva-portal.org/smash/get/diva2.../FULLTEXT01.pdf
-One button machine for automating feature engineering in ... - arXiv
https://arxiv.org/pdf/1706.00327
-Machine learning for Internet of Things data analysis: A survey ...
https://www.sciencedirect.com/science/.../pii/S235286481730247X
-machine learning methods for malware detection and ... - Theseus
https://www.theseus.fi/bitstream/handle/.../Thesis_final.pdf?...1...
-Deep learning for smart manufacturing: Methods and applications ...
https://www.sciencedirect.com/science/article/.../S02786125183000...
Best regards
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