Methodology for the construction of predictive analysis systems as exemplified by the mining equipment in the big data environment using smart agents and cybernetic systems

Simple item page
dc.citation.epage43
dc.citation.issue1
dc.citation.spage33
dc.contributor.affiliationKryvyi Rih National University
dc.contributor.authorKupin, Andrey
dc.contributor.authorIvchenko, Rodion
dc.coverage.placenameЛьвів
dc.date.accessioned2020-02-18T13:14:53Z
dc.date.available2020-02-18T13:14:53Z
dc.date.created2018-02-01
dc.date.issued2018-02-01
dc.description.abstractIt is necessary to determine the optimal methodology for the system of predictive analysis of equipment to prevent emergency situations. The system may include, in particular: data input/reading from sensors, processing/storage of information in a database using algorithms for processing Big Data and decision trees [1]. Identifying possible types of problems and making decisions on how to respond to them; training the system for more accurate response and decision-making.
dc.format.extent33-43
dc.format.pages11
dc.identifier.citationKupin A. Methodology for the construction of predictive analysis systems as exemplified by the mining equipment in the big data environment using smart agents and cybernetic systems / Andrey Kupin, Rodion Ivchenko // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2018. — Vol 3. — No 1. — P. 33–43.
dc.identifier.citationenKupin A. Methodology for the construction of predictive analysis systems as exemplified by the mining equipment in the big data environment using smart agents and cybernetic systems / Andrey Kupin, Rodion Ivchenko // Advances in Cyber-Physical Systems. — Lviv Politechnic Publishing House, 2018. — Vol 3. — No 1. — P. 33–43.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/45680
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofAdvances in Cyber-Physical Systems, 1 (3), 2018
dc.relation.references1. A. Kupin, I. Muzyka, R. Ivchenko: “Information Technologies of Processing Big Industrial Data and Decision-Making Methods”, Problems of Infocommunications. Science andTechnology, 2018.
dc.relation.references2. “Predictive analytics features: case from Beltel Datanomics” [Electronic resource] – Available: https://iot.ru/promyshlennost/vozmozhnostiprognoznoy-analitiki-keys-ot-beltel-datanomics
dc.relation.references3. A. M.Mariuta, Yu. G. Kachan, V. A. Bunko: “Automatic Control of Technological Processes of Concentrating Plants”. Moskow «Nedra», 1983.
dc.relation.references4. “Electrotechnical Encyclopedia. Sensors” [Electronic resource] – Available: http://www.electrolibrary.info/subscribe/sub_16_datchiki.htmR. Ivchenko: “Technology predictive analysis based on IoT TABIGDATA”. ІІІ International Scientific and Practical Conference "Information Security and Computer Technologies". Central Ukrainian National Technical University, Kropivnitsky, April 19-20, 2018.
dc.relation.references5. Magazine "Habrahabr". “Howto predict the exchange rate of the ruble to the dollar using SAP Predictive Analytics” [Electronic resource] – Available: https://habrahabr.ru/company/sap/blog/345108/
dc.relation.references6. “Comparison of metadata editors”. [Electronic resource] Available: https://en.wikipedia.org/wiki/Comparison_of_metadata_editors
dc.relation.references7. Magazine "Habrahabr". “Big Data from A to Z. Part 1: Principles of working with big data, the MapReduce paradigm”. [Electronic resource] – Available:: https://habrahabr.ru/company/dca/blog/267361/
dc.relation.references8. Ivanov P. D., Vampilovv V. Zh. “Big Data technologies and their application in a modern industrial enterprise.” Engineering Journal: Science and Innovation, 2014. [Electronic resource] – Available: http://engjournal.ru/catalog/it/asu/1228.html
dc.relation.references9. “Using big data in marketing research” [Electronic resource] – Available: http://www.ovtr.ru/stati/bolshie-dannye-big-data-v-marketingovyhissledovaniyah.
dc.relation.referencesen1. A. Kupin, I. Muzyka, R. Ivchenko: "Information Technologies of Processing Big Industrial Data and Decision-Making Methods", Problems of Infocommunications. Science andTechnology, 2018.
dc.relation.referencesen2. "Predictive analytics features: case from Beltel Datanomics" [Electronic resource] – Available: https://iot.ru/promyshlennost/vozmozhnostiprognoznoy-analitiki-keys-ot-beltel-datanomics
dc.relation.referencesen3. A. M.Mariuta, Yu. G. Kachan, V. A. Bunko: "Automatic Control of Technological Processes of Concentrating Plants". Moskow "Nedra", 1983.
dc.relation.referencesen4. "Electrotechnical Encyclopedia. Sensors" [Electronic resource] – Available: http://www.electrolibrary.info/subscribe/sub_16_datchiki.htmR. Ivchenko: "Technology predictive analysis based on IoT TABIGDATA". III International Scientific and Practical Conference "Information Security and Computer Technologies". Central Ukrainian National Technical University, Kropivnitsky, April 19-20, 2018.
dc.relation.referencesen5. Magazine "Habrahabr". "Howto predict the exchange rate of the ruble to the dollar using SAP Predictive Analytics" [Electronic resource] – Available: https://habrahabr.ru/company/sap/blog/345108/
dc.relation.referencesen6. "Comparison of metadata editors". [Electronic resource] Available: https://en.wikipedia.org/wiki/Comparison_of_metadata_editors
dc.relation.referencesen7. Magazine "Habrahabr". "Big Data from A to Z. Part 1: Principles of working with big data, the MapReduce paradigm". [Electronic resource] – Available:: https://habrahabr.ru/company/dca/blog/267361/
dc.relation.referencesen8. Ivanov P. D., Vampilovv V. Zh. "Big Data technologies and their application in a modern industrial enterprise." Engineering Journal: Science and Innovation, 2014. [Electronic resource] – Available: http://engjournal.ru/catalog/it/asu/1228.html
dc.relation.referencesen9. "Using big data in marketing research" [Electronic resource] – Available: http://www.ovtr.ru/stati/bolshie-dannye-big-data-v-marketingovyhissledovaniyah.
dc.relation.urihttps://iot.ru/promyshlennost/vozmozhnostiprognoznoy-analitiki-keys-ot-beltel-datanomics
dc.relation.urihttp://www.electrolibrary.info/subscribe/sub_16_datchiki.htmR
dc.relation.urihttps://habrahabr.ru/company/sap/blog/345108/
dc.relation.urihttps://en.wikipedia.org/wiki/Comparison_of_metadata_editors
dc.relation.urihttps://habrahabr.ru/company/dca/blog/267361/
dc.relation.urihttp://engjournal.ru/catalog/it/asu/1228.html
dc.relation.urihttp://www.ovtr.ru/stati/bolshie-dannye-big-data-v-marketingovyhissledovaniyah
dc.rights.holder© Національний університет “Львівська політехніка”, 2018
dc.rights.holder© Kupin A., Ivchenko R., 2018
dc.subjectIndustry 4.0
dc.subjectBig Data
dc.subjectPredictive analytics
dc.subjectsmart agents
dc.subjectcybernetic systems
dc.titleMethodology for the construction of predictive analysis systems as exemplified by the mining equipment in the big data environment using smart agents and cybernetic systems
dc.typeArticle

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Advances In Cyber-Physical Systems. – 2018. – Vol. 3, No. 1