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Focusing on the transformative impact of big data, this book offers a thorough exploration of big data analytics, detailing concepts such as multi-criteria optimization, support vector machines, and various analysis techniques. It highlights practical applications in business, engineering, and healthcare, sharing valuable lessons learned from real-world implementations. Additionally, the text delves into advanced topics, including the development of intelligence-quotient tests for artificial intelligence, making it a vital resource for understanding the future of data science.
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Advances in Big Data Analytics, Yong Shi
- Langue
- Année de publication
- 2022
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- (rigide)
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- Sous-titre
- Theory, Algorithms and Practices
- Langue
- Anglais
- Auteurs
- Yong Shi
- Éditeur
- Springer Nature Singapore
- Publié
- 2022
- Format
- rigide
- Pages
- 744
- ISBN13
- 9789811636066
- Séries
- Description
- Focusing on the transformative impact of big data, this book offers a thorough exploration of big data analytics, detailing concepts such as multi-criteria optimization, support vector machines, and various analysis techniques. It highlights practical applications in business, engineering, and healthcare, sharing valuable lessons learned from real-world implementations. Additionally, the text delves into advanced topics, including the development of intelligence-quotient tests for artificial intelligence, making it a vital resource for understanding the future of data science.