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DB-HReduction: A data preprocessing algorithm for data mining applications

โœ Scribed by Xiaohua Hu

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
574 KB
Volume
16
Category
Article
ISSN
0893-9659

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โœฆ Synopsis

Data preprocessing

is an important and critical step in the data mining process and it has a huge impact on the SUCCESS of a data mining project.

In this paper, we present an algorithm DB-HFkduction, which discretiaes or eliminates numeric attributes and generalizes or eliminates symbolic attributes very efficiently and effectively. This algorithm greatly decreases the number of attributes and tuplea of the data set and improves the accuracy and decreases the running time of the data mining algorithms in the later stage.

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