A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT] A SURVEY ON FEATURE SELECTION TECHNIQUES
2017
unpublished
Feature selection is a term standard in data mining to reduce inputs to a manageable size for analysis and processing which also focuses on identifying irrelevant information without affecting the accuracy of the classifier. FS selects a subset of relevant features and removes irrelevant and redundant features from the raw data to build a robust learning model. FS is very important, not only because of the curse of dimensionality, but also because of data complexities and the quantities of the
fatcat:pajvjvcr4fddtnphu4dq26mgva