MobileMiner
Author:
Affiliation:
1. Samsung Research America
2. WINLAB, Rutgers University
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2632048.2632052
Reference35 articles.
1. A new approach to online generation of association rules
2. Social fMRI: Investigating and shaping social mechanisms in the real world
3. Maintaining knowledge about temporal intervals
4. Android operating system. http://www.android.com/. Android operating system. http://www.android.com/.
Cited by 112 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized Systems;Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology;2023-10-29
2. Understanding Mobile Information Needs and Behaviours;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08
3. PredictionMiner: mining the latest individual behavioral rules for personalized contextual pattern predictions;Soft Computing;2023-07-17
4. REFL: Resource-Efficient Federated Learning;Proceedings of the Eighteenth European Conference on Computer Systems;2023-05-08
5. Quantum Optimized Cost Based Feature Selection and Credit Scoring for Mobile Micro-financing;Computational Economics;2023-03-13
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