Machine Learning in Big Data

Lidong Wang · Cheryl Ann Alexander

69 citations0/0 files storedInternational Journal of Mathematical Engineering and Management Sciences

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Big Data Technologies and Applications Artificial Intelligence in Healthcare AI and Big Data Applications

Abstract

Machine learning is an artificial intelligence method of discovering knowledge for making intelligent decisions. Big Data has great impacts on scientific discoveries and value creation. This paper introduces methods in machine learning, main technologies in Big Data, and some applications of machine learning in Big Data. Challenges of machine learning applications in Big Data are discussed. Some new methods and technology progress of machine learning in Big Data are also presented.

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References

2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data 2015Deep learning applications and challenges in big data analytics 2014Big data and its technical challenges 2013Addressing big data issues in Scientific Data Infrastructure 2014Big Data, Data Mining, and Machine Learning 2013‘BIG DATA’, THE ‘INTERNET OF THINGS’ AND THE ‘INTERNET OF SIGNS’2014Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners

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2020A data analytic framework for physical fatigue management using wearable sensors 2022A Survey of Machine Learning for Big Data Processing 2019Big Data Analytics using Machine Learning Techniques 2019REVIEW OF MACHINE LEARNING TECHNIQUES FOR VOLUMINOUS INFORMATION MANAGEMENT 2022Bosch’s Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support

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