Chapter
Jul 3, 2013
Knowledge Mining Based on Applications of the Methods and Technologies of Risks Prediction
Authors: Andrey Kostogryzov [email protected], Vladimir Krylov, Ph.D. [email protected], Andrey Nistratov [email protected], George Nistratov, Ph.D. [email protected], and Vladimir Popov, Ph.D.Author Affiliations
Publication: ICTIS 2013: Improving Multimodal Transportation Systems-Information, Safety, and Integration
Abstract
This paper is concerned with the knowledge mining approach in application to complex transportation systems. The approach is based on implementing the author's original mathematical models and supporting them with risk prediction software technologies. Compared to existing methods, the analytically calculated risks depend on the time of periodic control, monitoring, and recovery. Rational use allows the problem to go from data mining according to events to knowledge mining from transportation safety monitoring data and statistics. On the basis of the mined knowledge, proactive decisions may be found before the occurrence of critical events.
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© 2013 American Society of Civil Engineers.
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Published online: Jul 3, 2013
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Professor, General Director, Center of Standardization, Design and Development for Information & Communication Technologies and Systems, 15-135 Vinnitskaja Str., Moscow, Russia, 119192. E-mail: [email protected]
General Designer, Scientific & Technical Center "NAOPRO", Moscow, Russia. E-mail: [email protected]
Candidate for Researcher's Career of the Russian Academy of Sciences, 44 - Bld. 2 Vavilova Str., Moscow, Russia, 119333. E-mail: [email protected]
Chief, Software Department of the Research Institute of Applied Mathematics and Certification, 2-bld.2, Krasnobogatyrskaja Str., Moscow, Russia. E-mail: [email protected]
Vladimir Popov, Ph.D.
Deputy of the General Director, Center of Standardization, Design and Development for Information & Communication Technologies and Systems, Moscow, Russia
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