Journal article
DB-HReduction: A data preprocessing algorithm for data mining applications
Applied mathematics letters, v 16(6), pp 889-895
2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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-HReduction, which discretizes or eliminates numeric attributes and generalizes or eliminates symbolic attributes very efficiently and effectively. This algorithm greatly decreases the number of attributes and tuples 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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Details
- Title
- DB-HReduction: A data preprocessing algorithm for data mining applications
- Creators
- Xiaohua Hu - Drexel University
- Publication Details
- Applied mathematics letters, v 16(6), pp 889-895
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000185357200014
- Scopus ID
- 2-s2.0-0141796637
- Other Identifier
- 991019167520704721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Mathematics, Applied