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TELCO 2014 - 1st International Workshop for Telco Data-driven Innovations (TELCO)

Date2014-12-14

Deadline2014-08-01

VenueShenzhen, China China

Keywords

Websitehttps://datasparkanalytics.com/icdm14-telco

Topics/Call fo Papers

Telecommunication companies (Telcos) have become important players in big data analytics. Indeed many telcos have recently transformed themselves in the way they do business: Telcos are nowadays not only communication infrastructure providers but data-driven service providers in the digital space. As part of this digital transformation, significant efforts have been put into leveraging the massive volume of data collected from mobile phone devices to create new revenue streams while preserving privacy. This workshop will examine not only research but also new business opportunities offered by telco data, especially when combined with external data sources. This workshop aims at creating an industry-driven research momentum in the field of telco data-mining derived from human dynamics, both at aggregated and individual levels. This workshop will provide a unique platform for researchers to connect with telco R&Ds.
Industry panel: “The future of Telcos in the Big Data era”
To conclude the workshop, an industry panel will discuss the challenges and opportunities of telcos in the Big Data era. The participants will include top management personalities from the telco industry:
Michael Smith, SingTel GDL (Chief Commercial Officer)
Telefonica Equivalent (TBC)
Peter Grindrod (Cignifi & University of Oxford)
Topics of Interest
Contributions are sought in computational methods and applications using telco data, e.g. mobile network data, weblogs, digital TV and any other combinations involving telco data with external datasets. Also, research contributions examining privacy and trust issues are highly welcomed:
Telco data mining
mining of mobile network data (location based data and call detail records)
mining of spatiotemporal data
extraction of location semantics
mobility data analysis
integration and modeling of multi-source spatio and/or temporal data
Privacy and trust
privacy concerns, transparency and control
capture the value of privacy
customer engagement strategies
User modelling and profiling
human-centric activity recognition
mining of social graphs
spreading dynamics
spatial human dynamics
Applications
premium targeted advertising
data-driven market research
telco data mining for the social good
activity/location recommender systems
social mobility and city planning

Last modified: 2014-06-29 22:33:19