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Volumn 19, Issue 1, 2015, Pages 1-18

Mining trajectory data and geotagged data in social media for road map inference

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCIAL VEHICLES; DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS; ROADS AND STREETS; SOCIAL NETWORKING (ONLINE);

EID: 84929704628     PISSN: 13611682     EISSN: 14679671     Source Type: Journal    
DOI: 10.1111/tgis.12072     Document Type: Article
Times cited : (50)

References (23)
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    • Begin, D.1    Devillers, R.2    Roche, S.3
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    • Facebook Helps Get One in Five People Worldwide Socializing on Online Networks. WWW document
    • EMarketer 2012 Facebook Helps Get One in Five People Worldwide Socializing on Online Networks. WWW document, http://www.emarketer.com/Article/Facebook-Helps-One-Five-People-Worldwide-Socializing-on-Online-Networks/1008903
    • (2012)
  • 9
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    • Quality assessment of the French OpenStreetMap dataset
    • Girres J F and Touya G 2010 Quality assessment of the French OpenStreetMap dataset. Transactions in GIS 14: 435-459
    • (2010) Transactions in GIS , vol.14 , pp. 435-459
    • Girres, J.F.1    Touya, G.2
  • 12
    • 54849413571 scopus 로고    scopus 로고
    • User-generated content
    • Krumm J 2008 User-generated content. IEEE Pervasive Computing 7(4): 10-11
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    • Krumm, J.1
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    • The urban road design specification
    • Ministry of Construction of China 1991 The urban road design specification. CJJ: 37-90
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    • Basic Road Statistics of India, 2010-2011. WWW document
    • Ministry of Road Transport and Highways of India 2012 Basic Road Statistics of India, 2010-2011. WWW document, http://www.morth.nic.in/writereaddata/mainlinkFile/File839.pdf
    • (2012)
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    • 85153156726 scopus 로고    scopus 로고
    • Statistical Bulletin for the Industry Development of Highway and Waterway Transportation in China. WWW document
    • Ministry of Transport of China 2012 Statistical Bulletin for the Industry Development of Highway and Waterway Transportation in China. WWW document, http://www.mot.gov.cn/zizhan/siju/guihuasi/tongjixinxi/niandubaogao/201204/t201204251231653.html
    • (2012)
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    • 84876017555 scopus 로고    scopus 로고
    • Harvesting ambient geospatial information from social media feeds
    • Stefanidis A, Crooks A, and Radzikowski J 2012 Harvesting ambient geospatial information from social media feeds. GeoJournal 78: 319-338
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    • The impact of crowdsourcing on spatial data quality indicators
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    • Zhang, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.