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Quality improvement...
Quality improvement framework for business oriented geo-spatial data
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- Du, Xiaofeng (författare)
- British Telecommun PLC, London, England.
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- Song, William Wei, 1960- (författare)
- Högskolan Dalarna,Informatik
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British Telecommun PLC, London, England Informatik (creator_code:org_t)
- 2015-06-18
- 2015
- Engelska.
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Ingår i: Web Information Systems Engineering - WISE 2014 workshops. - Berlin : Springer Berlin/Heidelberg. - 9783319203706 - 9783319203690 ; , s. 239-249
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In the past few years, Geo-spatial data quality has received increasing attention and concerns. As more and more business decisions are made based on data analytic result from geo-spatial related data, low quality data means wrong or inappropriate decisions, which could have substantial effects on a business's future. In this paper, we propose a framework that can systematically ensure and improve geo-spatial data quality throughout the whole life cycle of data.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Complex Systems – Microdata Analysis
- Komplexa system - mikrodataanalys
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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