DroidARA: Android Application Automatic Categorization Based on API Relationship Analysis
作者： Wenhao Fan , Ye Chen , Yuan'An Liu , Fan Wu
DOI: 10.1109/ACCESS.2019.2948212
关键词:
摘要: An application (app) market with well-managed categorization will help users with app search and recommendation. Current categorization methods in app markets mainly rely on manual operation. Existing approaches for automatic Android app categorization suffer from low efficiency and low accuracy due to insufficient analysis of features, or inappropriate choice of features. This will mislead users to download unrelated apps and is not conducive to market stability maintenance. In this paper, we propose DroidARA, an efficient automatic …
sci-hub.se 参考文章(17)
Christopher M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics) Springer-Verlag New York, Inc.. ,(2006)
Dae Hoon Park, Mengwen Liu, ChengXiang Zhai, Haohong Wang, Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval international acm sigir conference on research and development in information retrieval. pp. 533- 542 ,(2015) , 10.1145/2766462.2767759
Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian, Mobile App Classification with Enriched Contextual Information IEEE Transactions on Mobile Computing. ,vol. 13, pp. 1550- 1563 ,(2014) , 10.1109/TMC.2013.113
Adrienne Porter Felt, Erika Chin, Steve Hanna, Dawn Song, David Wagner, Android permissions demystified Proceedings of the 18th ACM conference on Computer and communications security - CCS '11. pp. 627- 638 ,(2011) , 10.1145/2046707.2046779
Kathy Wain Yee Au, Yi Fan Zhou, Zhen Huang, David Lie, PScout Proceedings of the 2012 ACM conference on Computer and communications security - CCS '12. pp. 217- 228 ,(2012) , 10.1145/2382196.2382222
Asaf Shabtai, Yuval Fledel, Yuval Elovici, Automated Static Code Analysis for Classifying Android Applications Using Machine Learning computational intelligence and security. pp. 329- 333 ,(2010) , 10.1109/CIS.2010.77
David Lavid Ben Lulu, Tsvi Kuflik, Wise Mobile Icons Organization: Apps Taxonomy Classification Using Functionality Mining to Ease Apps Finding Mobile Information Systems. ,vol. 2016, pp. 1- 22 ,(2016) , 10.1155/2016/3083450
Vladan Radosavljevic, Peiji Chen, Mihajlo Grbovic, Nemanja Djuric, Narayan Bhamidipati, Daneo Zhang, Jack Wang, Jiankai Dang, Haiying Huang, Ananth Nagarajan, Smartphone App Categorization for Interest Targeting in Advertising Marketplace the web conference. pp. 93- 94 ,(2016) , 10.1145/2872518.2889411
Xi Liu, Han Hee Song, Mario Baldi, Pang-Ning Tan, Macro-scale mobile app market analysis using customized hierarchical categorization IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications. pp. 1- 9 ,(2016) , 10.1109/INFOCOM.2016.7524387
Afnan A Al-Subaihin, Federica Sarro, Sue Black, Licia Capra, Mark Harman, Yue Jia, Yuanyuan Zhang, None, Clustering Mobile Apps Based on Mined Textual Features empirical software engineering and measurement. pp. 38- ,(2016) , 10.1145/2961111.2962600