DocumentCode :
3129499
Title :
Origin/Destination-estimation Using Cellular Network Data
Author :
Mellegård, Erik ; Moritz, Simon ; Zahoor, Mohamed
Author_Institution :
Ericsson Res., Ericsson AB, Stockholm, Sweden
fYear :
2011
fDate :
11-11 Dec. 2011
Firstpage :
891
Lastpage :
896
Abstract :
Today there are more than 600 billion geo special transactions every day in the US alone [1], and most of this data is passing through carriers networks. Hence, the carriers are sitting on a huge pile of potential knowledge which they could make more use of. Earlier attempt on this data have been very ambitious and often failed due to the nature of the data. In this paper present an innovative method that does enough, not too much with the data. Our method addresses how to handle the big data challenge as well as how one could plan to secure the privacy of the end users. The latter being one of the main reasons why carriers have not deployed anything similar yet. They have simply been too afraid of what would happen if the data would be mistreated or perceived as misused.
Keywords :
cellular radio; carriers networks; cellular network data; end user privacy; origin/destination-estimation; Base stations; Clustering algorithms; Data privacy; Land mobile radio cellular systems; MONOS devices; Roads; Smart phones; Hadoop; Origin-destination estimation; geospatial; location; mobility; privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4673-0005-6
Type :
conf
DOI :
10.1109/ICDMW.2011.132
Filename :
6137475
Link To Document :
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