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Volumn , Issue , 2013, Pages 142-147

Predicting driver destination using machine learning techniques

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84894355467     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2013.6728224     Document Type: Conference Paper
Times cited : (35)

References (11)
  • 4
    • 37249082461 scopus 로고    scopus 로고
    • Mining frequent trajectories of moving objects for location prediction
    • M. Morzy, "Mining Frequent Trajectories of Moving Objects for Location Prediction," MLDM, vol. 4571, pp. 667-680, 2007.
    • (2007) MLDM , vol.4571 , pp. 667-680
    • Morzy, M.1
  • 7
    • 84894311482 scopus 로고    scopus 로고
    • Federal Geographic Data Committee-Standards Working Group, United States National Grid, Federal Geographic Data Committee, 2001
    • Federal Geographic Data Committee-Standards Working Group, "United States National Grid," Federal Geographic Data Committee, 2001.
  • 9
    • 33744584654 scopus 로고
    • Induction of decision trees
    • March
    • J. Quinlan, "Induction of Decision Trees," Machine Learning, vol. 1, no. 1, pp. 81-106, March 1986.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.1
  • 11
    • 33646343188 scopus 로고    scopus 로고
    • Context-Aware mobile computing:Learning contect-dependent personal preferences from a wearable sensor array
    • A. Krause, A. Smailagic and D. Siewiorek, "Context-Aware Mobile Computing: Learning Contect-Dependent Personal Preferences from a Wearable Sensor Array," IEEE Transactions on Mobile Computing, vol. 5, no. 2, pp. 113-127, 2006.
    • (2006) IEEE Transactions on Mobile Computing , vol.5 , Issue.2 , pp. 113-127
    • Krause, A.1    Smailagic, A.2    Siewiorek, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.