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Considering Currency in Decision Trees in the Context of Big Data

Hristova, Diana (2014) Considering Currency in Decision Trees in the Context of Big Data. In: 2014 International Conference on Information Systems, 14.-17.12.2014, Auckland, New Zealand.

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Date of publication of this fulltext: 15 Jan 2015 14:38

Abstract

In the current age of big data, decision trees are one of the most commonly applied data mining methods. However, for reliable results they require up-to-date input data, which is not always given in reality. We present a two-phase approach based on probability theory for considering currency of stored data in decision trees. Our approach is efficient and thus suitable for big data applications. ...

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Item type:Conference or workshop item (Paper)
Date:December 2014
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich)
Keywords:Decision trees, Currency, Data quality, Big data mining
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:31227
Owner only: item control page

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