A novel community detection based genetic algorithm for feature selection
Abstract The feature selection is an essential data preprocessing stage in data mining. The core principle of feature selection seems to be to pick a subset of possible features by excluding features with almost no predictive information as well as highly associated redundant features. In the past s...
Main Authors: | Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-01-01
|
Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-020-00398-3 |
Similar Items
-
Toward an Optimal and Structured Feature Subset Selection for Multi-Target Regression Using Genetic Algorithm
by: Farrukh Hasan Syed, et al.
Published: (2023-01-01) -
Multi-Population Genetic Algorithm for Multilabel Feature Selection Based on Label Complementary Communication
by: Jaegyun Park, et al.
Published: (2020-08-01) -
Modified Floating Search Feature Selection Based on Genetic Algorithm
by: Homsapaya Kanyanut, et al.
Published: (2018-01-01) -
A Hybrid Method for Recommendation Systems based on Tourism with an Evolutionary Algorithm and Topsis Model
by: Saman Forouzandeh, et al.
Published: (2022-01-01) -
Evolutionary computing for clinical dataset classification using a novel feature selection algorithm
by: Pranali D. Sheth, et al.
Published: (2022-09-01)