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Guide to Big Data Applications (Studies in Big Data)
ISBN-10 书号: 3319538160
ISBN-13 书号: 9783319538167
Edition 版本: 1st ed. 2018
Released: 2017-06-24
Pages: 565
Book Description
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.
Contents
Part I General
Chapter 1 Strategic Applications Of Big Data
Chapter 2 Start With Privacy By Design In All Big Data Applications
Chapter 3 Privacy Preserving Federated Big Data Analysis
Chapter 4 Word Embedding For Understanding Natural Language 语言: A Survey
Part II Applications in Science
Chapter 5 Big Data Solutions To Interpreting Complex Systems In The Environment
Chapter 6 High Performance Computing And Big Data
Chapter 7 Managing Uncertainty In Large-Scale Inversions For The Oil And Gas Industry With Big Data
Chapter 8 Big Data In Oil & Gas And Petrophysics
Chapter 9 Friendship Paradoxes On Quora
Chapter 10 Deduplication Practices For Multimedia Data In The Cloud
Chapter 11 Privacy-Aware Search And Computation Over Encrypted Data Stores
Chapter 12 Civil Infrastructure Serviceability Evaluation Based On Big Data
Part III Applications in Medicine
Chapter 13 Nonlinear Dynamical Systems With Chaos And Big Data: A Case Study Of Epileptic Seizure Prediction And Control
Chapter 14 Big Data To Big Knowledge For Next Generation Medicine: A Data Science Roadmap
Chapter 15 Time-Based Comorbidity In Patients Diagnosed With Tobacco Use Disorder
Chapter 16 The Impact Of Big Data On The Physician
Part IV Applications in Business
Chapter 17 The Potential Of Big Data In Banking
Chapter 18 Marketing Applications Using Big Data
Chapter 19 Does Yelp Matter? Analyzing (And Guide To Using) Ratings For A Quick Serve Restaurant Chain
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。
目录
第一部分总则
第一章大数据战略应用
第2章在所有大数据应用程序中设计开始隐私
第3章隐私保护联合大数据分析
第四章词义嵌入理解自然语言: 调查
第二部分科学应用
第五章大数据解决方案在环境中解读复杂系统
第六章高性能计算和大数据
第七章管理石油和天然气行业大数据逆转的不确定性
第八章石油和天然气和岩石物理学的大数据
第九章友谊悖论
第10章云中多媒体数据的重复数据删除实践
第11章通过加密数据存储进行隐私感知搜索和计算
第十二章基于大数据的民用基础设施服务能力评估
第三部分医学应用
第13章混沌与大数据非线性动力学系统癫痫发作预测与控制案例研究
第14章大数据对下一代医学的大知识: 数据科学路线图
第15章诊断为烟草使用障碍的患者的基于时间的合并症
第16章大数据对医师的影响
第四部分业务应用
第17章银行业大数据的潜力
第18章使用大数据的营销应用
第十九章耶尔是否重要？分析（和使用指南）快速服务餐厅链的评级
