RETRACTED: Application of Machine Learning and Big Data in Doubly Fed Induction Generator based Stability Analysis of Multi Machine System using Substantial Transformative Optimization Algorithm

Seethalakshmi, V.; Karthigaivel, R.; Vengadachalam, N.; Selvakumaran, Sivasakthy

doi:10.1016/j.micpro.2019.102971

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…López-Martínez et al [85] 2020 Healthcare √ √ Medical decision support Subha Seethalakshmi et al [86] 2020 Energy √ √ Stability analysis Nallaperuma et al [67] 2019 Transportation √ √ Smart traffic management Moorthy and Gandhi [74] 2019 Healthcare √ √ Medical data analytics Gu et al [87] 2019 Gaming √ √ Game prediction Venkatesh et al [66] 2019 Healthcare √ √ Disease prediction…”

Section: Study Yearmentioning

confidence: 99%

“…In the healthcare industry, machine learning, and big data can be used to optimize medication prescriptions for complex diseases like diabetes [65] . Additionally, they can be used to enhance medical decision support and population health management [85] . Other opportunities include the creation of big data predictive analytics models for disease prediction [66] , the estimation of the common agricultural policy (CAP) greening effect utilizing machine learning techniques [80] , and the creation of machine learning and multi-agent models to automate big data analytics in smart cities [79] .…”

Section: Study Yearmentioning

confidence: 99%

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Navigating the Ethical and Privacy Concerns of Big Data and Machine Learning in Decision Making

Taherdoost

2023

Intell. and Converged Netw.

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In recent years, the fields of big data and machine learning have gained significant attention for their potential to revolutionize decision-making processes. The vast amounts of data generated by various sources can provide valuable insights to inform decisions across a range of domains, from business and finance to healthcare and social policy. Machine learning algorithms enable computers to learn from data and improve their performance over time, thereby enhancing their ability to make predictions and identify patterns. This article provides a comprehensive overview of how big data and machine learning can improve decision-making processes between 2017-2022. It covers key concepts and techniques involved in these tools, including data collection, data preprocessing, feature selection, model training, and evaluation. The article also discusses the potential benefits and limitations of these tools and explores the ethical and privacy concerns associated with their use. In particular, it highlights the need for transparency and fairness in decision-making algorithms and the importance of protecting individuals' privacy rights.The review concludes by highlighting future research opportunities and challenges in this rapidly evolving field, including the need for more robust and interpretable models, as well as the integration of human decision making with machine learning algorithms. Ultimately, this review aims to provide insights for researchers and practitioners seeking to leverage big data and machine learning to improve decision-making processes in various domains.

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Section: Study Yearmentioning

confidence: 99%

Section: Study Yearmentioning

confidence: 99%

Navigating the Ethical and Privacy Concerns of Big Data and Machine Learning in Decision Making

Taherdoost

2023

Intell. and Converged Netw.

View full text Add to dashboard Cite

show abstract

WITHDRAWN: Comparative Research on Active Learning of Big Aata based on Mapreduce and Spark

Zhang

2020

Microprocessors and Microsystems

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WITHDRAWN: College student employment data platform based on FPGA and machine learning

Lin

2020

Microprocessors and Microsystems

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RETRACTED: Application of Machine Learning and Big Data in Doubly Fed Induction Generator based Stability Analysis of Multi Machine System using Substantial Transformative Optimization Algorithm

Cited by 4 publications

References 19 publications

Navigating the Ethical and Privacy Concerns of Big Data and Machine Learning in Decision Making

Navigating the Ethical and Privacy Concerns of Big Data and Machine Learning in Decision Making

WITHDRAWN: Comparative Research on Active Learning of Big Aata based on Mapreduce and Spark

WITHDRAWN: College student employment data platform based on FPGA and machine learning

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