Guide to Big Data Applications

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brief introduction:      This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.
      本手册汇集了在多个领域（主要是科学，医学和商业）中使用大数据的各种方法。这个单一的资源来自世界各地的研究人员从各种领域的贡献，他们分享他们的发现和经验。本书旨在促进大数据的进一步创新。这种研究以一种允许读者无论学习领域如何从应用程序成功证明以及相似应用程序如何在自己的领域中得到使用的方式呈现。贡献来自物理，生物学，能源，医疗保健和商业领域的研究人员。贡献者还讨论了重要话题，如欺诈检测，隐私隐患，法律观点和大数据的道德操守。


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关键词：Applications Application Big data cation ATION innovation experience presented medicine research

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