大数据 | BIG DATA:Algorithms, Analytics, and Applications

作者:速递君

The collection presented in the book covers fundamental and realistic issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields.

BIG DATA:Algorithms, Analytics, and Applications



by Kuan-Ching Li, Hai Jiang, Laurence T. Yang, and Alfredo Cuzzocrea



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As data sets are being generated at an exponential rate all over the world, Big Data has become an indispensable issue. While organizations are capturing exponentially larger amounts of data than ever these days, they have to rethink and figure out how to digest it. The implicit meaning of data can be interpreted in reality through novel and evolving algorithms, analytics techniques, and innovative and effective use of hardware and software platforms so that organizations can harness the data, discover hidden patterns, and use newly acquired knowledge to act meaningfully for competitive advantages.



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tag:   big data 大数据

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