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Volumn 20, Issue , 2011, Pages 514-523

Understanding bike-sharing systems using Data Mining: Exploring activity patterns

Author keywords

Activity patterns; Bike sharing; Data mining

Indexed keywords


EID: 80052996527     PISSN: 18770428     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.sbspro.2011.08.058     Document Type: Conference Paper
Times cited : (261)

References (20)
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  • 10
    • 77956402716 scopus 로고    scopus 로고
    • Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system
    • Kaltenbrunner, A., Meza, R., Grivolla, J., Condina, J. & Banchs, R. (2010). Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system. Pervasive and Mobile Computing. 6(4). 455-466.
    • (2010) Pervasive and Mobile Computing , vol.6 , Issue.4 , pp. 455-466
    • Kaltenbrunner, A.1    Meza, R.2    Grivolla, J.3    Condina, J.4    Banchs, R.5
  • 13
    • 80054086965 scopus 로고    scopus 로고
    • The role of smart bike-sharing systems
    • May
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    • Midgley, P.1
  • 15
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    • The effect of ignoring routes when locating depots
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    • Salhi, R.1    Rand, G.K.2
  • 16
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    • Beaulieu. M. (Ed.). Tampere. Finland.
    • Slonim, N., Friedman, N. & Tishby, N. (2002). Unsupervised document classification using sequential information maximization. In: Beaulieu. M. (Ed.): SIGIR 2002. Tampere. Finland. 129-136.
    • (2002) SIGIR 2002 , pp. 129-136
    • Slonim, N.1    Friedman, N.2    Tishby, N.3
  • 19
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    • Vienna Statistical Yearbook (2009). http://www.wien.gv.at/statistik/pdf/ bezirksportraets09.pdf
    • (2009) Vienna Statistical Yearbook


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.