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The manifest and store data of 870,515 Android mobile applications Dataset
- paperswithcode.com
Updated Jun 7, 2022
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EmailClick to copy linkLink copiedCiteAnnamalai Narayanan; Charlie Soh; Lihui Chen; Yang Liu; Lipo Wang (2022). The manifest and store data of 870,515 Android mobile applications Dataset [Dataset]. https://paperswithcode.com/dataset/the-manifest-and-store-data-of-870515-androidDataset updatedJun 7, 2022AuthorsAnnamalai Narayanan; Charlie Soh; Lihui Chen; Yang Liu; Lipo WangDescriptionInvolves a crawler to collect data from the Google Play store including the application's metadata and APK files. The manifest files were extracted from the APK files and then processed to extract the features. The data set is composed of 870,515 records/apps, and for each app we produced 48 features. The data set was used to built and test two bootstrap aggregating of multiple XGBoost machine learning classifiers. The dataset were collected between April 2017 and November 2018. We then checked the status of these applications on three different occasions; December 2018, February 2019, and May-June 2019. (2022-06-03)
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The manifest and store data of 870,515 Android mobile applications
- dataverse.nl
zipUpdated Jun 9, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFadi Mohsen; Fadi Mohsen; Dimka Karastoyanova; Dimka Karastoyanova; George Azzopardi; George Azzopardi (2022). The manifest and store data of 870,515 Android mobile applications [Dataset]. http://doi.org/10.34894/H0YJFTzip(202636617)Available download formatsUnique identifierhttps://doi.org/10.34894/H0YJFTDataset updatedJun 9, 2022Dataset provided byDataverseNLAuthorsFadi Mohsen; Fadi Mohsen; Dimka Karastoyanova; Dimka Karastoyanova; George Azzopardi; George AzzopardiLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyTime period coveredApr 15, 2017 - Jun 17, 2019DescriptionWe built a crawler to collect data from the Google Play store including the application's metadata and APK files. The manifest files were extracted from the APK files and then processed to extract the features. The data set is composed of 870,515 records/apps, and for each app we produced 48 features. The data set was used to built and test two bootstrap aggregating of multiple XGBoost machine learning classifiers. The dataset were collected between April 2017 and November 2018. We then checked the status of these applications on three different occasions; December 2018, February 2019, and May-June 2019.
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FacebookTwitterEmailInvolves a crawler to collect data from the Google Play store including the application's metadata and APK files. The manifest files were extracted from the APK files and then processed to extract the features. The data set is composed of 870,515 records/apps, and for each app we produced 48 features. The data set was used to built and test two bootstrap aggregating of multiple XGBoost machine learning classifiers. The dataset were collected between April 2017 and November 2018. We then checked the status of these applications on three different occasions; December 2018, February 2019, and May-June 2019. (2022-06-03)