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Machine Learning Applied to the Clerical Task Management Problem in Master Data Management Systems 

BTW 2019 Oberhofer, Martin; Bremer, Lars; Chkalova, Mariya
Clerical tasks are created if a duplicate detection algorithm detects some similarity of records but not enough to allow an auto-merge operation. Data stewards review clerical tasks and make a final non-match or match decision. In this paper we evaluate different machine learning algorithms regarding their accuracy to ...

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Author

Bremer, Lars (1)
Chkalova, Mariya (1)Oberhofer, Martin (1)

Subject

Clerical Task Processing (1)Data Fusion (1)Duplicate Detection (1)IBM Master Data Management (1)
Machine Learning (1)
Matching (1)MDM (1)Random Forest (1)Sorted Neighborhood Method (1)XGBoosting (1)... View More

Date Issued

2019 (1)

Has File(s)

Yes (1)

About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.