MODEL IDENTIFICATION OF PROPERTIES OF ERRORS IN DATA PROCESSING TECHNOLOGY
The recognition problem is solved on the basis of the properties of the statistical classification structure errors, referred to as defects. Classification is performed by agglomerative cluster analysis on Euclidean metric. Experimental clustering carried out by varying the time and cost of finding...
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| Format: | Article |
| Language: | English |
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Plekhanov Russian University of Economics
2016-05-01
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| Series: | Открытое образование (Москва) |
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| Online Access: | https://openedu.rea.ru/jour/article/view/10 |
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| _version_ | 1850024736467189760 |
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| author | George N. Isaev |
| author_facet | George N. Isaev |
| author_sort | George N. Isaev |
| collection | DOAJ |
| description | The recognition problem is solved on the basis of the properties of the statistical classification structure errors, referred to as defects. Classification is performed by agglomerative cluster analysis on Euclidean metric. Experimental clustering carried out by varying the time and cost of finding and eliminating defects. We identified three major classes of defects – for accuracy, completeness and timeliness of the data. The analysis of each class of defects in their parameters, the weight value, the causes and others. In view of the identification of the properties of defects solved the problem of improving the quality of information systems. |
| format | Article |
| id | doaj-art-f4e5b247b40045cc915b6d30aabbd4b1 |
| institution | DOAJ |
| issn | 1818-4243 2079-5939 |
| language | English |
| publishDate | 2016-05-01 |
| publisher | Plekhanov Russian University of Economics |
| record_format | Article |
| series | Открытое образование (Москва) |
| spelling | doaj-art-f4e5b247b40045cc915b6d30aabbd4b12025-08-20T03:01:02ZengPlekhanov Russian University of EconomicsОткрытое образование (Москва)1818-42432079-59392016-05-0101545910.21686/1818-4243-2016-1-54-599MODEL IDENTIFICATION OF PROPERTIES OF ERRORS IN DATA PROCESSING TECHNOLOGYGeorge N. Isaev0The Russian state university of tourism and serviceThe recognition problem is solved on the basis of the properties of the statistical classification structure errors, referred to as defects. Classification is performed by agglomerative cluster analysis on Euclidean metric. Experimental clustering carried out by varying the time and cost of finding and eliminating defects. We identified three major classes of defects – for accuracy, completeness and timeliness of the data. The analysis of each class of defects in their parameters, the weight value, the causes and others. In view of the identification of the properties of defects solved the problem of improving the quality of information systems.https://openedu.rea.ru/jour/article/view/10recognition of the properties of the errorthe cluster analysis modelthe processing of datasources of errorerror recoveryinformation systems |
| spellingShingle | George N. Isaev MODEL IDENTIFICATION OF PROPERTIES OF ERRORS IN DATA PROCESSING TECHNOLOGY Открытое образование (Москва) recognition of the properties of the error the cluster analysis model the processing of data sources of error error recovery information systems |
| title | MODEL IDENTIFICATION OF PROPERTIES OF ERRORS IN DATA PROCESSING TECHNOLOGY |
| title_full | MODEL IDENTIFICATION OF PROPERTIES OF ERRORS IN DATA PROCESSING TECHNOLOGY |
| title_fullStr | MODEL IDENTIFICATION OF PROPERTIES OF ERRORS IN DATA PROCESSING TECHNOLOGY |
| title_full_unstemmed | MODEL IDENTIFICATION OF PROPERTIES OF ERRORS IN DATA PROCESSING TECHNOLOGY |
| title_short | MODEL IDENTIFICATION OF PROPERTIES OF ERRORS IN DATA PROCESSING TECHNOLOGY |
| title_sort | model identification of properties of errors in data processing technology |
| topic | recognition of the properties of the error the cluster analysis model the processing of data sources of error error recovery information systems |
| url | https://openedu.rea.ru/jour/article/view/10 |
| work_keys_str_mv | AT georgenisaev modelidentificationofpropertiesoferrorsindataprocessingtechnology |