Data compression in machine learning applied to natural language |
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Authors: | Jerzy W Grzymala-Busse Soe Than |
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Institution: | 1. Department of Computer Science, University of Kansas, 66045, Lawrence, KS
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Abstract: | In this paper, we investigate the possibility of applying machine learning methods to data derived from the area of natural language and show how rules, induced by machine learning, are changed after the original data are compressed by grouping together entries, attributes, and attribute values. Also shown is how excessive compression of input data may affect the accuracy of induced rules. |
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