Open AccessANALYSIS OF A LARGE VOLUME OF DATA ON THE STATE OF HIGH-TECH EQUIPMENT
Author(s) -
Denis Shibaev,
Vladimir Vychuzhanin,
Natalia Shibaeva
Publication year - 2017
Publication title -
rozvitok transportu
Language(s) - English
Resource type - Journals
ISSN - 2616-7360
DOI - 10.33082/td.2017.1-1.09
Subject(s) - computer science , sequent , volume (thermodynamics) , architecture , data processing , state (computer science) , database , value (mathematics) , data mining , algorithm , art , physics , quantum mechanics , machine learning , visual arts , programming language
The ideological basis of the study is to analyze the data obtained in the result of a large number of high-tech equipment. The data is distributed in databases, depending on various characteristics. The complexity of the sub-sequent processing depends on the amount of information you need to perform, as well as architectural type of data storage.
The use of data mining technology allows to significantly improve the analysis of information and subsequent short-term search value. The use of this technology will improve the efficiency of the archives of marine indicators for all time of operation of the vessel. The technology of data analysis is not tho-rough and requires permanent modification to increase their own efficiency.
The addition of modern architecture through data in the databases, will allow to increase efficiency of data analysis, consisting of a large number of indicators of the condition of the vessel and its equipment. One of these architectures is Map-Reduce.