Proposal a new feature evaluation measure for filter type feature subset selection with Evolutionary Algorithm
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- KAWAMURA Atsushi
- Iwate Prefecture University Graduate School
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- CHAKURABORTY Basabi
- Iwate Prefecture University
Bibliographic Information
- Other Title
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- 進化計算を用いたフィルター特徴選択に関する評価指標の提案
Abstract
<p>Feature Selection is an important preprocessing step for pattern recognition and data mining problems. This process selects necessary features and removes redundant features. In this work, we propose a new fitness function for feature subset evaluation. The proposed new fitness function is used for feature subset selection with EC algorithms. Simulation experiments using the benchmark datasets have been done and the results are compared with popular methods.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2018 (0), 3E204-3E204, 2018
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390001288048210688
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- NII Article ID
- 130007426392
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed