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Volumn , Issue 2392, 2013, Pages 22-30

The language of driving

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; DATA REDUCTION;

EID: 84897128725     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2392-03     Document Type: Article
Times cited : (10)

References (17)
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  • 5
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    • The development of a naturalistic data collection system to perform critical incident analysis: An investigation of safety and fatigue issues in long-haul trucking
    • Dingus, T. A., V. L. Neale, S. G. Klauer, A. D. Petersen, and R. J. Carroll. The Development of a Naturalistic Data Collection System to Perform Critical Incident Analysis: An Investigation of Safety and Fatigue Issues in Long-Haul Trucking. Accident Analysis and Prevention, Vol. 38, No. 6, 2006, pp. 1127-1136.
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    • Dingus, T.A.1    Neale, V.L.2    Klauer, S.G.3    Petersen, A.D.4    Carroll, R.J.5
  • 7
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    • Chunking: A procedure to improve naturalistic data analysis
    • Dozza, M., J. Bargman, and J. D. Lee. Chunking: A Procedure to Improve Naturalistic Data Analysis. Accident Analysis and Prevention, Vol. 58, 2013, pp. 309-317.
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    • Dozza, M.1    Bargman, J.2    Lee, J.D.3
  • 8
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    • Lin, J.1
  • 9
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    • Mining heterogeneous multivariate time-series for learning meaningful patterns: Application to home health telecare
    • France
    • Duchene, F., C. Garbay, and V. Rialle. Mining Heterogeneous Multivariate Time-Series for Learning Meaningful Patterns: Application to Home Health Telecare. IMAG, Grenoble, France, 2004.
    • (2004) IMAG, Grenoble
    • Duchene, F.1    Garbay, C.2    Rialle, V.3
  • 12
    • 84863304598 scopus 로고    scopus 로고
    • R Development Core Team R Foundation for Statistical Computing, Vienna, Austria
    • R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2012.
    • (2012) R: A Language and Environment for Statistical Computing
  • 14
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    • Intelligent icons: Integrating lite-weight data mining and visualization into GUI operating systems
    • Hong Kong, China, IEEE, New York
    • Keogh, E. Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems. Proc., 6th IEEE International Conference on Data Mining, Hong Kong, China, IEEE, New York, 2006.
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    • Keogh, E.1
  • 15
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    • Statistical models for text segmentation
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    • Voting experts: An unsupervised algorithm for segmenting sequences
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.