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Considering Currency in Decision Trees in the Context of Big Data

URN to cite this document:
urn:nbn:de:bvb:355-epub-312271
Hristova, Diana
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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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