Predicting length of stay at WiFi hotspots

Proceedings - IEEE INFOCOM

Volumn , Issue , 2013, Pages 3102-3110

  Manweiler, Justin ^a   Santhapuri, Naveen ^b   Choudhury, Romit Roy ^b   Nelakuditi, Srihari ^c  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b DUKE UNIVERSITY   (United States)

^c UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL PATTERNS; HIGH-RESOLUTION MEASUREMENTS; REASONABLE ACCURACY; SHORT TERM PREDICTION; STATISTICAL FRAMEWORK; USER BEHAVIORS; WI-FI ACCESS POINTS; WIFI SIGNAL STRENGTHS;

FORECASTING; SENSORS;

BEHAVIORAL RESEARCH;

EID: 84883130378     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFCOM.2013.6567123     Document Type: Conference Paper

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