Self-Correlation Analysis Framework with Property Data in Master Data Management — A Case on Power Utility Equipment Retire Analysis
| Autor: | Fenghua Wang, Yue Wang, Jingzhou Cheng, Fangyuan Xu, Wanli Wu, Qian Zhongwen, Loi Lei Lai |
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| Rok vydání: | 2018 |
| Předmět: |
Scheme (programming language)
Master data management Property (programming) Computer science Computation 05 social sciences Value (computer science) 050801 communication & media studies 02 engineering and technology Variation (game tree) 021001 nanoscience & nanotechnology computer.software_genre Correlation 0508 media and communications Data mining Decision-making 0210 nano-technology computer computer.programming_language |
| Zdroj: | 2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). |
| DOI: | 10.1109/icwapr.2018.8521284 |
| Popis: | Causing Reason Locating (CRL) is a negative going decision making process. It provides specific individual causing reasons to events or abnormal variation so that decision maker can find out clear-cut points for updates or maintenance. Traditional CRL is usually implemented with self-correlation analysis on Value Comparable Data (VCD). Property Data (PD) is not covered in CRL for its nominal evaluations. This paper initiates a new scheme for PD data correlation analysis, including virtual data creation method and correlation balancing method for Kendall correlation computation. A numerical study is implemented for model support on equipment retire analysis. |
| Databáze: | OpenAIRE |
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