A Paradigm-Shifting From Domain-Driven Data Mining Frameworks to Process-Based Domain-Driven Data Mining-Actionable Knowledge Discovery Framework-Reference-Cited by-同舟云学术

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A Paradigm-Shifting From Domain-Driven Data Mining Frameworks to Process-Based Domain-Driven Data Mining-Actionable Knowledge Discovery Framework

Published:2020 Issue: Volume:8 Page:210763-210774
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fatima Fakeeha^ORCID,Talib Ramzan^ORCID,Hanif Muhammad Kashif^ORCID,Awais Muhammad^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09262888.pdf?arnumber=9262888

Cited by 11 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

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2. Real-world validation of a framework for automated knowledge driven feature engineering inspired by medical domain experts;Informatics in Medicine Unlocked;2024

3. Sentiment Analysis Based on Social Networks Using Support Expectation-Maximization for E-Commerce Applications;2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2023-04-29

4. Aspect-Context Level Information Extraction via Transformer Based Interactive Attention Mechanism for Sentiment Classification;IEEE Access;2023

5. WisRule: First cognitive algorithm of wise association rule mining;Journal of Information Science;2022-07-05

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