A Fuzzy Metric for Currency in the Context of Big Data

URN to cite this document:: urn:nbn:de:bvb:355-epub-300870
DOI to cite this document:: 10.5283/epub.30087

Heinrich, Bernd ; Hristova, Diana

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Date of publication of this fulltext: 12 Jun 2014 08:39

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Item type:	Conference or workshop item (Paper)
Date:	2014
Institutions:	Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich) Informatics and Data Science > Department Information Systems > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich)
Keywords:	Data quality, Currency, Metric, Fuzzy inference system, Expert estimations, Big data
Dewey Decimal Classification:	300 Social sciences > 330 Economics
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	30087

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Abstract

Nowadays, companies rely more than ever on stored data to support decision making. However, outdated data may result in wrong decisions and economic losses. Thus, measuring data currency is extremely important. Existing metrics for currency either assume that their input parameters are given, or estimate them statistically, which may not always be possible in applications and especially in the ...

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