Smartphone Context Event Sequence Prediction with POERMH and TKE-Rules Algorithms
Author:
Affiliation:
1. Christian Steil Computer Science & Engineering University of North Texas,Denton,Texas
2. Computer Science Cal Poly Humboldt,Arcata,California
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099037/10098906/10099166.pdf?arnumber=10099166
Reference24 articles.
1. Automated Testing of Android Apps: A Systematic Literature Review
2. Mining user behavioral rules from smart-phone data through association analysis;sarker;Pacific-Asia Conference on Knowledge Discovery and Data Mining,0
3. Discovering Frequent Episodes in Sequences;mannila;First International Conference on Knowledge Discovery and Data Mining (KDD-95),0
4. AppsPred: Predicting context-aware smartphone apps using random forest learning
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