Enhancing performance of a LENN based CCFD model with a hybrid TOPSIS-ReliefF based feature selection technique-Reference-Cited by-同舟云学术

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Enhancing performance of a LENN based CCFD model with a hybrid TOPSIS-ReliefF based feature selection technique

Published:2022-11-11 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON)
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Author:

Dash Rajashree¹,Dash Rasmita¹,Rautray Rasmita¹

Affiliation:

1. Siksha O Anusandhan (Deemed to be University),Computer Science & Engineering Department,Bhubaneswar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009904/10009934/10009935.pdf?arnumber=10009935

Reference18 articles.

1. Feature Selection in Gene Expression Data Using Principal Component Analysis and Rough Set Theory

2. Relief-based feature selection: Introduction and review

3. Hybrid Model Based on ReliefF Algorithm and K-Nearest Neighbor for Erythemato-Squamous Diseases Forecasting

4. A TOPSIS Approach of Ranking Classifiers for Stock Index Price Movement Prediction

5. An Empirical Comparison of TOPSIS and VIKOR for Ranking Decision-Making Models;samal;Intelligent Cloud Computin g,2021

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