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Advances in Big Data Analytics: Theory, Algorithms and Practices
Yong Shi你有多喜歡這本書?
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Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence.
年:
2022
出版商:
Springer
語言:
english
頁數:
742
ISBN 10:
9811636060
ISBN 13:
9789811636066
文件:
PDF, 11.67 MB
你的標籤:
IPFS:
CID , CID Blake2b
english, 2022
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