Multi-Criteria Mapping Based on Support Vector Machine and Cluster Distance
There was an increase in a number of applications for a master degree program with the growth in time. It takes huge time to process all the application documents of each and every applicant manually and requires a high volume of the workforce. This can be reduced if automation is used for this proc...
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Universitätsbibliothek Chemnitz
2016
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ndltd-DRESDEN-oai-qucosa.de-bsz-ch1-qucosa-2125652016-11-02T03:30:12Z Multi-Criteria Mapping Based on Support Vector Machine and Cluster Distance Eerla, Vishwa Shanthi Informatik Support Vektor Maschine Cluster Computer Science Support Vector Machine Cluster ddc:000 Informatik Cluster Anwendung Automation There was an increase in a number of applications for a master degree program with the growth in time. It takes huge time to process all the application documents of each and every applicant manually and requires a high volume of the workforce. This can be reduced if automation is used for this process. In any case, before that, an analysis of the complete strides required in preparing was precisely the automation must be utilized to diminish the time and workforces must be finished. The application process for the applicant is actually participating in several steps. First, the applicant sends the complete scanned documents to the uni-assist; from there the applications are received by the student assistant team at the particular university to which the applicant had applied, and then they are sent to the individual departments. At the individual sections, the individual applications will be handled by leading an intensive study to know whether the applicant by their past capabilities scopes to satisfy the prerequisites of further study system to which they have applied. What's more, by considering the required points of interest of the applicant without investigating every single report, and to pack the information and diminish the preparing time for the specific division, by this postulation extend a solitary web apparatus is being produced that can procedure the application which is much dependable in the basic leadership procedure of application. Universitätsbibliothek Chemnitz TU Chemnitz, Fakultät für Informatik Prof. Dr. Wolfram Hardt Daniel Reißner Prof. Dr. Wolfram Hardt Daniel Reißner 2016-11-01 doc-type:masterThesis application/pdf text/plain application/zip http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-212565 urn:nbn:de:bsz:ch1-qucosa-212565 http://www.qucosa.de/fileadmin/data/qucosa/documents/21256/Master_Thesis_Vishwa_Shanthi_Eerla.pdf http://www.qucosa.de/fileadmin/data/qucosa/documents/21256/signatur.txt.asc eng |
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language |
English |
format |
Dissertation |
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topic |
Informatik Support Vektor Maschine Cluster Computer Science Support Vector Machine Cluster ddc:000 Informatik Cluster Anwendung Automation |
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Informatik Support Vektor Maschine Cluster Computer Science Support Vector Machine Cluster ddc:000 Informatik Cluster Anwendung Automation Eerla, Vishwa Shanthi Multi-Criteria Mapping Based on Support Vector Machine and Cluster Distance |
description |
There was an increase in a number of applications for a master degree program with the growth in time. It takes huge time to process all the application documents of each and every applicant manually and requires a high volume of the workforce. This can be reduced if automation is used for this process. In any case, before that, an analysis of the complete strides required in preparing was precisely the automation must be utilized to diminish the time and workforces must be finished. The application process for the applicant is actually participating in several steps. First, the applicant sends the complete scanned documents to the uni-assist; from there the applications are received by the student assistant team at the particular university to which the applicant had applied, and then they are sent to the individual departments. At the individual sections, the individual applications will be handled by leading an intensive study to know whether the applicant by their past capabilities scopes to satisfy the prerequisites of further study system to which they have applied. What's more, by considering the required points of interest of the applicant without investigating every single report, and to pack the information and diminish the preparing time for the specific division, by this postulation extend a solitary web apparatus is being produced that can procedure the application which is much dependable in the basic leadership procedure of application. |
author2 |
TU Chemnitz, Fakultät für Informatik |
author_facet |
TU Chemnitz, Fakultät für Informatik Eerla, Vishwa Shanthi |
author |
Eerla, Vishwa Shanthi |
author_sort |
Eerla, Vishwa Shanthi |
title |
Multi-Criteria Mapping Based on Support Vector Machine and Cluster Distance |
title_short |
Multi-Criteria Mapping Based on Support Vector Machine and Cluster Distance |
title_full |
Multi-Criteria Mapping Based on Support Vector Machine and Cluster Distance |
title_fullStr |
Multi-Criteria Mapping Based on Support Vector Machine and Cluster Distance |
title_full_unstemmed |
Multi-Criteria Mapping Based on Support Vector Machine and Cluster Distance |
title_sort |
multi-criteria mapping based on support vector machine and cluster distance |
publisher |
Universitätsbibliothek Chemnitz |
publishDate |
2016 |
url |
http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-212565 http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-212565 http://www.qucosa.de/fileadmin/data/qucosa/documents/21256/Master_Thesis_Vishwa_Shanthi_Eerla.pdf http://www.qucosa.de/fileadmin/data/qucosa/documents/21256/signatur.txt.asc |
work_keys_str_mv |
AT eerlavishwashanthi multicriteriamappingbasedonsupportvectormachineandclusterdistance |
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