Abstract
Attribute reduction is an important treatment in information system. Classification is the base of attribute reduction, but it is inefficient to reduce attribute directly on a large data set. This paper put forward an attribute reduction parallel algorithm based on information entropy. The algorithm reduces attribute at the same time breakdowns original information system layer by layer, as a result, achieve attribute reduction parallel calculate and shrink the search space.
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© 2012 Springer-Verlag Berlin Heidelberg
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Yang, C., Zhang, Z., Zhang, J. (2012). Information System Attribute Reduction Parallel Algorithm Based on Information Entropy. In: Deng, W. (eds) Future Control and Automation. Lecture Notes in Electrical Engineering, vol 173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31003-4_4
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DOI: https://doi.org/10.1007/978-3-642-31003-4_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31002-7
Online ISBN: 978-3-642-31003-4
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