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ShareLikesCrowd: mobile analytics for participatory sensing and crowd-sourcing applications
conference contribution
posted on 2013-01-01, 00:00 authored by Arkady ZaslavskyArkady Zaslavsky, P P Jayaraman, S KrishnaswamyData and continuous data streams from mobile users/devices are becoming increasingly important for numerous applications including urban modelling, transportation, and more recently for mobile crowd-sensing to support citizen journalism and participatory sensing where sensor informatics and social networking meet. While significant efforts have focused towards the analysis of mobile user data, a key challenge that needs to be addressed in order to realize the full-potential is to address the scalability issues of real-time data collection and processing at run time. By scalability, we refer to both the challenges of data capture from a large number of users, as well as the issues of energy consumed on individual devices as a result of that capture. In this paper, we present mobile/on-board data stream mining as an effective approach to address the scalability issues of mobile data collection and run-time processing and as a significant component of mobile run-time analytics. We present experimental evaluation using the Nokia mobile data challenge open track dataset to show the significant energy and bandwidth savings that mobile data stream mining can achieve with no significant loss of useful information in this process.
History
Event
IEEE Computer Society. Conference (29th : 2013 : Brisbane, Qld.)Series
IEEE Computer Society ConferencePagination
128 - 135Publisher
Institute of Electrical and Electronics EngineersLocation
Brisbane, Qld.Place of publication
Piscataway, N.J.Publisher DOI
Start date
2013-04-08End date
2013-04-11ISSN
1084-4627ISBN-13
9781467353021Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2013, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
ICDE 2013 : Proceedings of the 2013 IEEE 29th International Conference on Data Engineering WorkshopsUsage metrics
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