Abstract
With a unified model of feature selection, we are ready to discuss in detail different aspects of feature selection. The major aspects of feature selection are (1) search directions (feature subset generation), (2) search strategies, and (3) evaluation measures. The objective of this chapter is two-fold: (a) to study the various options for each aspect in a systematic and principled way and (b) to identify the essential and different characteristics of various feature selection systems.
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© 1998 Springer Science+Business Media New York
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Liu, H., Motoda, H. (1998). Feature Selection Aspects. In: Feature Selection for Knowledge Discovery and Data Mining. The Springer International Series in Engineering and Computer Science, vol 454. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5689-3_3
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DOI: https://doi.org/10.1007/978-1-4615-5689-3_3
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