1. A comparative study on machine learning algorithms for indoor positioning, in: Innovations in Intelligent SysTems and Applications (INISTA), 2015 International Symposium on;Bozkurt,2015
2. Removing useless aps and fingerprints from wifi indoor positioning radio maps, in: Indoor Positioning and Indoor Navigation (IPIN), 2013 International Conference on;Eisa,2013
3. Goswami, A., Ortiz, L.E., Das, S.R., 2011. Wigem: A learning-based approach for indoor localization, in: Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies, ACM. p. 3.
4. The WEKA data mining software: an update;Hall;SIGKDD Explorations,2009
5. Wi-fi fingerprint-based indoor positioning: Recent advances and comparisons;He;IEEE Communications Surveys & Tutorials,2016