Measuring robustness of Feature Selection techniques on software engineering datasets

Feature Selection is a process which identifies irrelevant and redundant features from a high-dimensional dataset (that is, a dataset with many features), and removes these before further analysis is performed. Recently, the robustness (e.g., stability) of feature selection techniques has been studi...

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Veröffentlicht in:	2011 IEEE International Conference on Information Reuse and Integration S. 309 - 314
Hauptverfasser:	Huanjing Wang, Khoshgoftaar, T. M., Wald, R.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2011
Schlagworte:	Analysis of variance fault-prone program module Indexes Radio frequency Robustness Robustness of feature selection Software software metrics software quality classification Stability criteria
ISBN:	9781457709647, 1457709643
Online-Zugang:	Volltext
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