Home Location Inference from Sparse and Noisy Data: Models and Applications

Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015

Volumn , Issue , 2016, Pages 1382-1387

  Hu, Tianran ^a   Luo, Jiebo ^a   Kautz, Henry ^a   Sadilek, Adam ^a  

^a University of Rochester   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING;

BAY AREAS; FINE GRANULARITY; NEW YORK CITY; NOISY DATA; NOVEL APPLICATIONS; RESEARCH TOPICS; SOCIAL MEDIA DATUM; URBAN COMPUTING;

LOCATION;

EID: 84964786031     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2015.149     Document Type: Conference Paper

References (18)

1. M. Lin, W.-J. Hsu, and Z. Q. Lee, "Predictability of individuals' mobility with high-resolution positioning data," in UbiComp, 2012, pp. 381-390.
2. A. Sadilek and J. Krumm, "Far out: Predicting long-term human mobility." in AAAI, 2012.
3. B. Hoh, M. Gruteser, H. Xiong, and A. Alrabady, "Enhancing security and privacy in traffic-monitoring systems," Pervasive Computing, IEEE, vol. 5, no. 4, pp. 38-46, 2006.
4. J. Krumm, "Inference attacks on location tracks," in Pervasive Computing. Springer, 2007, pp. 127-143.
5. E. Cho, S. A. Myers, and J. Leskovec, "Friendship and mobility: user movement in location-based social networks," in Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data mining, 2011, pp. 1082-1090.
6. S. Scellato, A. Noulas, R. Lambiotte, and C. Mascolo, "Socio-spatial properties of online location-based social networks." ICWSM, vol. 11, pp. 329-336, 2011.
7. T. Pontes, G. Magno, M. Vasconcelos, A. Gupta, J. Almeida, P. Kumaraguru, and V. Almeida, "Beware of what you share: Inferring home location in social networks," in Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on, 2012, pp. 571-578.
8. T. Pontes, M. Vasconcelos, J. Almeida, P. Kumaraguru, and V. Almeida, "We know where you live: Privacy characterization of foursquare behavior," in UbiComp, 2012, pp. 898-905.
9. J. Mahmud, J. Nichols, and C. Drews, "Where is this tweet from inferring home locations of twitter users." in ICWSM, 2012.
10. C. Song, Z. Qu, N. Blumm, and A.-L. Barabasi, "Limits of predictability in human mobility," Science, vol. 327, no. 5968, pp. 1018-1021, 2010.
11. G. Smith, R. Wieser, J. Goulding, and D. Barrack, "A refined limit on the predictability of human mobility," in Pervasive Computing, 2014, pp. 88-94.
12. S. Scellato, A. Noulas, and C. Mascolo, "Exploiting place features in link prediction on location-based social networks," in Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, 2011, pp. 1046-1054.
13. A. Sadilek and H. Kautz, "Modeling the impact of lifestyle on health at scale," in WSDM, 2013, pp. 637-646.
14. Z. Cheng, J. Caverlee, and K. Lee, "You are where you tweet: a contentbased approach to geo-locating twitter users," in Proceedings of the 19th ACM International Conference on Information and Knowledge Management, 2010, pp. 759-768.
15. W. Xing and A. Ghorbani, "Weighted pagerank algorithm," in Communication Networks and Services Research, 2004. Proceedings. Second Annual Conference on, 2004, pp. 305-314.
16. A. Culotta, "Towards detecting influenza epidemics by analyzing twitter messages," in Proceedings of the first workshop on social media analytics, 2010, pp. 115-122.
17. M. J. Paul and M. Dredze, "A model for mining public health topics from twitter," HEALTH, vol. 11, pp. 16-6, 2012.
18. A. Sadilek, H. A. Kautz, and V. Silenzio, "Modeling spread of disease from social interactions." in ICWSM, 2012.