Outlier detection on large-scale collective behaviors

Proceedings - 4th International Joint Conference on Computational Sciences and Optimization, CSO 2011

Volumn , Issue , 2011, Pages 635-639

  Zhou, Wenbin ^a   Yang, Su ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

Collective behaviors; Data mining; Outlier detection; Pattern recognition

Indexed keywords

COLLECTIVE BEHAVIOR; OUTLIER DETECTION; PRACTICAL PROBLEMS; TOY DATA; TRACKING TECHNOLOGY; TRAFFIC DATA;

CELLULAR TELEPHONE SYSTEMS; DATA MINING; OPTIMIZATION; PATTERN RECOGNITION; STATISTICS; TELECOMMUNICATION EQUIPMENT;

BEHAVIORAL RESEARCH;

EID: 80051998669     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSO.2011.199     Document Type: Conference Paper

References (5)

1. N. Eagle and A. S. Pentland, Reality mining: sensing complex social systems, Personal and ubiquitous computing, 2006, col. 10, pp 255-268.
2. F. E. Grubbs, Procedures for detecting outlying observations in samples, Technometrics 11, 1969, pp. 1-21.
3. J. Candia, M. C. Gonzalez et al., Uncovering individual and collective human dynamics from mobile phone records, Journal of physics. A, Mathematical and theoretica, 2008, vol. 41, pp 224015.
4. http://www.d.umn.edu/tkwon/TMCdata/TMCarchive.html.
5. http://ccl.northwestern.edu/netlogo/.