Route detection and mobility based clustering

Author

Saravanan, M. ; Pravinth, S.V. ; Holla, Pavan

Author_Institution

Ericsson India Global Services Pvt. Ltd., Chennai, India

fYear

2011

fDate

12-13 Dec. 2011

Firstpage

1

Lastpage

7

Abstract

Telecommunication companies maintain a large database of all user communications for billing purpose. This data is now being utilized by the network providers to assess the current needs of the subscribers. Logs of Telecommunication providers not only contain connectivity data but also location data of users. Analyzing this social network along with location data helps identify social interactions amongst people. This paper will discuss a novel method to mine the daily routes of users and analyze city-wide mass movement patterns from telecommunication data. Combining this with the user profiles generated from the same data, we outline a framework for Location-Based-Advertising.

Keywords

mobility management (mobile radio); pattern clustering; telecommunication computing; telecommunication services; location-based-advertising; mobility based clustering; network providers; route detection; social interactions; social network; telecommunication companies; telecommunication providers; user profiles; Advertising; Cities and towns; Classification algorithms; Clustering algorithms; Databases; Entropy; Poles and towers; Location-based advertising; Mobility-based Clustering; Route Detection; User Profile;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Multimedia Systems Architecture and Application (IMSAA), 2011 IEEE 5th International Conference on

Conference_Location

Bangalore, Karnataka

Print_ISBN

978-1-4577-1329-3

Type

conf

DOI

10.1109/IMSAA.2011.6156372

Filename

6156372