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» Recommending Social Events from Mobile Phone Location Data
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CSCW
2002
ACM
13 years 5 months ago
Voice-mail diary studies for naturalistic data capture under mobile conditions
Mobile technology requires new methods for studying its use under realistic conditions "in the field." Reflexively, mobile technology also creates new opportunities for ...
Leysia Palen, Marilyn C. Salzman
ICCS
2007
Springer
13 years 11 months ago
Enhanced Situational Awareness: Application of DDDAS Concepts to Emergency and Disaster Management
Abstract. We describe a prototype emergency and disaster information system designed and implemented using DDDAS concepts. The system is designed to use real-time cell phone callin...
Gregory R. Madey, Albert-László Bara...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 5 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...
PERCOM
2011
ACM
12 years 9 months ago
Ranges of human mobility in Los Angeles and New York
—The advent of ubiquitous, mobile, personal devices creates an unprecedented opportunity to improve our understanding of human movement. In this work, we study human mobility in ...
Sibren Isaacman, Richard Becker, Ramón C&aa...
PERVASIVE
2008
Springer
13 years 5 months ago
Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing
Abstract. People-centric sensor-based applications targeting mobile device users offer enormous potential. However, learning inference models in this setting is hampered by the lac...
Nicholas D. Lane, Hong Lu, Shane B. Eisenman, Andr...