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Advances in Big Data Analytics

Theory, Algorithms and Practices

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  • 744pages
  • 27 heures de lecture

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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

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Année de publication
2022
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