Author:
Ozer Mert,Keles Ilkcan,Toroslu İsmail Hakki,Karagoz Pinar
Cited by
5 articles.
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1. Permission Method for Use of Smartphone Location Data with Emphasis on Users' Understanding;2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops);2023-03-13
2. Predicting the Location and Time of Mobile Phone Users by Using Sequential Pattern Mining Techniques;The Computer Journal;2015-09-11
3. Real-time passenger location estimation using CDRs and train objects generated from crowdsourced timetables;Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15;2015
4. Location Prediction of Mobile Phone Users Using Apriori-Based Sequence Mining with Multiple Support Thresholds;New Frontiers in Mining Complex Patterns;2015
5. Predicting the next location change and time of change for mobile phone users;Proceedings of the Third ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems - MobiGIS '14;2014