Feature selection using law of total variance with fast correlation-based filter
The increased dimensionality of data poses a formidable obstacle to completing data mining tasks. Due to the extraneous features associated with high-dimensional data, processing and analysis took longer and were less precise. As a pre-processing phase in the analysis of data mining tasks, feature s...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40376/1/Feature%20selection%20using%20law%20of%20total%20variance.pdf http://umpir.ump.edu.my/id/eprint/40376/2/Feature%20selection%20using%20law%20of%20total%20variance%20with%20fast%20correlation-based%20filter_ABS.pdf http://umpir.ump.edu.my/id/eprint/40376/ https://doi.org/10.1109/ICSECS58457.2023.10256367 |
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