Analysing Android Apps Classification and Categories Validation by Using Latent Dirichlet Allocation
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-41456-5_22
Reference26 articles.
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2. Android. Software (2008). https://source.android.com/. Accessed 14 Feb 2023
3. Adhitama, R., Kusumaningrum, R., Gernowo, R.: Topic labeling towards news document collection based on latent Dirichlet allocation and ontology. In: 2017 1st International Conference on Informatics and Computational Sciences (ICICoS), pp. 247–252 (2017). https://doi.org/10.1109/ICICOS.2017.8276370
4. Alam, S.: Applying natural language processing for detecting malicious patterns in Android applications. Forensic Sci. Int.: Digit. Invest. 301270 (2021). https://doi.org/10.1016/j.fsidi.2021.301270
5. Andow, B., Nadkarni, A., Bassett, B., Enck, W., Xie, T.: A study of grayware on google play. In: 2016 IEEE Security and Privacy Workshops (SPW), pp. 224–233 (2016). https://doi.org/10.1109/SPW.2016.40
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