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Understanding the impact of data sparsity and duration for location prediction applications
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Thomason, Alasdair, Leeke, Matthew and Griffiths, Nathan (2015) Understanding the impact of data sparsity and duration for location prediction applications. In: Giaffreda, Raffaele and Cagáňová, Dagmar and Li, Yong and Riggio, Roberto and Voisard, Agnès, (eds.) Internet of things : IoT infrastructures : first International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers. Part II. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (151). Springer International Publishing, pp. 192-197. ISBN 9783319197425
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Official URL: http://dx.doi.org/10.1007/978-3-319-19743-2_29
Abstract
As mobile devices capable of sensing location have become pervasive, the collection and transmission of location data has become commonplace, enabling the creation of models of behaviour that support location prediction. With such devices often heavily resource-constrained, the nature of data used in location prediction must be understood in order to optimise storage and processing requirements. This paper specifically explores data sparsity and collection duration. The results presented provide insight which suggest: (i) a relationship of diminishing returns in predictive accuracy when collecting user location data at increased rates over a fixed period, and (ii) the duration over which a fixed size sample of location data is collected has a greater impact on predicative accuracy than data sparsity.
| Item Type: | Book Item | ||||||
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| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Geospatial data -- Collection and preservation, Location-based services | ||||||
| Series Name: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering | ||||||
| Journal or Publication Title: | Internet of Things. IoT Infrastructures | ||||||
| Publisher: | Springer International Publishing | ||||||
| ISBN: | 9783319197425 | ||||||
| Book Title: | Internet of things : IoT infrastructures : first International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers. Part II | ||||||
| Editor: | Giaffreda, Raffaele and Cagáňová, Dagmar and Li, Yong and Riggio, Roberto and Voisard, Agnès | ||||||
| Official Date: | 26 June 2015 | ||||||
| Dates: |
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| Number: | 151 | ||||||
| Page Range: | pp. 192-197 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 28 July 2016 | ||||||
| Date of first compliant Open Access: | 28 July 2016 | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | International Conference on Mobility and Smart Cities | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Rome, Italy | ||||||
| Date(s) of Event: | 27-28 Oct 2014 | ||||||
| Related URLs: |
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