https://oldena.lpnu.ua/handle/ntb/45680| Title: | 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 |
| Authors: | Kupin, Andrey Ivchenko, Rodion |
| Affiliation: | Kryvyi Rih National University |
| Bibliographic description (Ukraine): | Kupin 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. |
| Bibliographic description (International): | Kupin 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. |
| Is part of: | Advances in Cyber-Physical Systems, 1 (3), 2018 |
| Issue: | 1 |
| Issue Date: | 1-Feb-2018 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів |
| Keywords: | Industry 4.0 Big Data Predictive analytics smart agents cybernetic systems |
| Number of pages: | 11 |
| Page range: | 33-43 |
| Start page: | 33 |
| End page: | 43 |
| Abstract: | It 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/45680 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2018 © Kupin A., Ivchenko R., 2018 |
| URL for reference material: | https://iot.ru/promyshlennost/vozmozhnostiprognoznoy-analitiki-keys-ot-beltel-datanomics http://www.electrolibrary.info/subscribe/sub_16_datchiki.htmR https://habrahabr.ru/company/sap/blog/345108/ https://en.wikipedia.org/wiki/Comparison_of_metadata_editors https://habrahabr.ru/company/dca/blog/267361/ http://engjournal.ru/catalog/it/asu/1228.html http://www.ovtr.ru/stati/bolshie-dannye-big-data-v-marketingovyhissledovaniyah |
| References (Ukraine): | 1. A. Kupin, I. Muzyka, R. Ivchenko: “Information Technologies of Processing Big Industrial Data and Decision-Making Methods”, Problems of Infocommunications. Science andTechnology, 2018. 2. “Predictive analytics features: case from Beltel Datanomics” [Electronic resource] – Available: https://iot.ru/promyshlennost/vozmozhnostiprognoznoy-analitiki-keys-ot-beltel-datanomics 3. A. M.Mariuta, Yu. G. Kachan, V. A. Bunko: “Automatic Control of Technological Processes of Concentrating Plants”. Moskow «Nedra», 1983. 4. “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. 5. 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/ 6. “Comparison of metadata editors”. [Electronic resource] Available: https://en.wikipedia.org/wiki/Comparison_of_metadata_editors 7. 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/ 8. 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 9. “Using big data in marketing research” [Electronic resource] – Available: http://www.ovtr.ru/stati/bolshie-dannye-big-data-v-marketingovyhissledovaniyah. |
| References (International): | 1. A. Kupin, I. Muzyka, R. Ivchenko: "Information Technologies of Processing Big Industrial Data and Decision-Making Methods", Problems of Infocommunications. Science andTechnology, 2018. 2. "Predictive analytics features: case from Beltel Datanomics" [Electronic resource] – Available: https://iot.ru/promyshlennost/vozmozhnostiprognoznoy-analitiki-keys-ot-beltel-datanomics 3. A. M.Mariuta, Yu. G. Kachan, V. A. Bunko: "Automatic Control of Technological Processes of Concentrating Plants". Moskow "Nedra", 1983. 4. "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. 5. 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/ 6. "Comparison of metadata editors". [Electronic resource] Available: https://en.wikipedia.org/wiki/Comparison_of_metadata_editors 7. 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/ 8. 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 9. "Using big data in marketing research" [Electronic resource] – Available: http://www.ovtr.ru/stati/bolshie-dannye-big-data-v-marketingovyhissledovaniyah. |
| Content type: | Article |
| Appears in Collections: | Advances In Cyber-Physical Systems. – 2018. – Vol. 3, No. 1 |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018v3n1_Kupin_A-Methodology_for_the_construction_33-43.pdf | 382.98 kB | Adobe PDF | View/Open | |
| 2018v3n1_Kupin_A-Methodology_for_the_construction_33-43__COVER.png | 1.45 MB | image/png | View/Open |
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