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Concept of system architecture database analysis

  • Technical University of Munich
  • University of South Alabama, The College of Engineering

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Every company stores more and more product data. Most of the data are not analyzed and possible findings cannot be used. But the utilization of existing knowledge can make the system development process more efficient. Therefore, this paper focuses on the data analysis of system architectures. It develops a concept to identify patterns between system architectures of different products in a database. The concept combines the knowledge discovery process of databases (KDD) and analyzing methods of product architectures. The so identified patterns of system architectures support the usage and fostering of synergies between different products.

Original languageEnglish
Title of host publication2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
PublisherIEEE Computer Society
Pages410-414
Number of pages5
ISBN (Electronic)9781509036653
DOIs
StatePublished - 27 Dec 2016
Event2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 - Bali, Indonesia
Duration: 4 Dec 20167 Dec 2016

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2016-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
Country/TerritoryIndonesia
CityBali
Period4/12/167/12/16

Keywords

  • Database
  • KDD
  • patterns
  • system architectures

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