An Adaptive Model for Identification of Influential Bloggers Based on Case-Based Reasoning Using Random Forest-Reference-Cited by-同舟云学术

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An Adaptive Model for Identification of Influential Bloggers Based on Case-Based Reasoning Using Random Forest

Published:2019 Issue: Volume:7 Page:87732-87749
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Asim Yousra,Raza Basit^ORCID,Malik Ahmad Kamran^ORCID,Shahaid Ahmad R.,Alquhayz Hani^ORCID

Funder

Majmaah University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08752220.pdf?arnumber=8752220

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3FS-CBR-IRF: improving case retrieval for case-based reasoning with three feature selection and improved random forest;Multimedia Tools and Applications;2024-02-10

2. A Case-Based Reasoning System-Based Random Forest for Classification;Handbook of Research on Driving Socioeconomic Development With Big Data;2023-02-24

3. An Improved Random Forest Based on Feature Selection and Feature Weighting for Case Retrieval in CBR Systems;International Journal of Software Innovation;2022-05-06

4. Selecting Bloggers for Hotels via an Innovative Mixed MCDM Model;Mathematics;2021-07-02

5. A novel approach to build accurate and diverse decision tree forest;Evolutionary Intelligence;2021-01-03

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