標題: Titlebook: Big Data for the Greater Good; Ali Emrouznejad,Vincent Charles Book 2019 Springer International Publishing AG, part of Springer Nature 201 [打印本頁] 作者: 佯攻 時間: 2025-3-21 20:08
書目名稱Big Data for the Greater Good影響因子(影響力)
書目名稱Big Data for the Greater Good影響因子(影響力)學(xué)科排名
書目名稱Big Data for the Greater Good網(wǎng)絡(luò)公開度
書目名稱Big Data for the Greater Good網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data for the Greater Good被引頻次
書目名稱Big Data for the Greater Good被引頻次學(xué)科排名
書目名稱Big Data for the Greater Good年度引用
書目名稱Big Data for the Greater Good年度引用學(xué)科排名
書目名稱Big Data for the Greater Good讀者反饋
書目名稱Big Data for the Greater Good讀者反饋學(xué)科排名
作者: Capitulate 時間: 2025-3-22 00:04 作者: 情愛 時間: 2025-3-22 04:01
https://doi.org/10.1007/b101190alance training and Scope—a system collecting physiological data, is provided both in collaborating rehabilitation centers and at patient homes. The preliminary results are documented using a case study confirming that the approach offers a viable way towards the greater good of a patient.作者: MORPH 時間: 2025-3-22 08:03
https://doi.org/10.1007/978-3-031-53558-1 present confidence bounds that allow us to measure uncertainty of the uptake based on different scenarios. Finally, two case-studies are reported, describing applications of these techniques to energy modelling on a real low-voltage network in Bracknell, UK. These studies show how applying agent-ba作者: languid 時間: 2025-3-22 12:46 作者: 殘暴 時間: 2025-3-22 16:53
Big Data for the Greater Good: An Introduction, of the social value that can be extracted from it; to this aim, we explore some of the key literature on the subject. We also call attention to the potential ‘dark’ side of Big Data, but argue that more studies are needed to fully understand the downside of it. We conclude this chapter with some fi作者: 可轉(zhuǎn)變 時間: 2025-3-22 20:26 作者: 禮節(jié) 時間: 2025-3-23 01:07 作者: 屈尊 時間: 2025-3-23 03:00
Big Data and Sensitive Data,g trustee institutions and foster new types of data collaborations and business models. The chapter provides an introduction to CoED, and presents CoED applications for collaborative statistics when applied to financial risk assessment in banks and directly to the banks’ customers. Another applicati作者: 含水層 時間: 2025-3-23 06:27 作者: agnostic 時間: 2025-3-23 11:23
Big Data for Predictive Analytics in High Acuity Health Settings,ve care units (ICUs) and emergency departments (EDs). In addition, a discussion of various types of mathematical techniques and approaches for identifying patients at risk will be discussed as well as the identification and challenges associated with issuing of alarm signals on monitored patients.作者: 太空 時間: 2025-3-23 13:56
Big Data in Agricultural and Food Research: Challenges and Opportunities of an Integrated Big Data fficient fashion. It furthermore discusses on the potentially significant impact that such infrastructures can have on agriculture and food management and policy making, by applying the proposed solution in variegating agri-food related domains.作者: d-limonene 時間: 2025-3-23 19:28 作者: AGGER 時間: 2025-3-24 00:11
https://doi.org/10.1007/978-3-031-53558-1e designed, developed, and implemented software systems that can download, organize, and analyze the text from these online reviews, analyze them using Natural Language Processing algorithms to perform sentiment analysis and topic modeling and provide facility managers actionable insights to improve visitor experience.作者: 平息 時間: 2025-3-24 06:04
,Big Data Improves Visitor Experience at Local, State, and National Parks—Natural Language Processine designed, developed, and implemented software systems that can download, organize, and analyze the text from these online reviews, analyze them using Natural Language Processing algorithms to perform sentiment analysis and topic modeling and provide facility managers actionable insights to improve visitor experience.作者: 兵團 時間: 2025-3-24 09:19 作者: Hippocampus 時間: 2025-3-24 12:24 作者: GLOSS 時間: 2025-3-24 17:25 作者: Etching 時間: 2025-3-24 21:11
Fluorescence Detection Techniques,ighlighting both their similarities and complementary nature. Ultimately, this chapter advances that ethnography and big data analytics can work together to provide a more comprehensive picture of big data, and can thus, generate more societal value together than each approach on its own.作者: Peak-Bone-Mass 時間: 2025-3-25 02:37
Smart Luminescent Nanocomposites,ve care units (ICUs) and emergency departments (EDs). In addition, a discussion of various types of mathematical techniques and approaches for identifying patients at risk will be discussed as well as the identification and challenges associated with issuing of alarm signals on monitored patients.作者: delta-waves 時間: 2025-3-25 04:11
F. A. Stevie,D. P. Griffis,P. E. Russellfficient fashion. It furthermore discusses on the potentially significant impact that such infrastructures can have on agriculture and food management and policy making, by applying the proposed solution in variegating agri-food related domains.作者: hedonic 時間: 2025-3-25 11:09
2197-6503 a setting and are useful for the public.Written by respectedThis book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new fronti作者: 吝嗇性 時間: 2025-3-25 14:19 作者: 嘮叨 時間: 2025-3-25 15:51
Big Data Analytics and Ethnography: Together for the Greater Good,sidered to be an approach that offers ‘broad accounts’ based on large datasets. Although perceived as antagonistic, ethnography and big data analytics have in many ways, a shared purpose; in this sense, this chapter explores the intersection of the two approaches to analysing data, with the aim of h作者: rectocele 時間: 2025-3-25 23:52 作者: Pulmonary-Veins 時間: 2025-3-26 00:34
Big Data for Predictive Analytics in High Acuity Health Settings,s and laboratory equipment, imaging, and patient demographics have greatly increased the capability to closely monitor, diagnose, and administer therapies to patients. This chapter focuses on the use of data for in-patient care management in high-acuity spaces, such as operating rooms (ORs), intensi作者: evanescent 時間: 2025-3-26 07:48 作者: Parameter 時間: 2025-3-26 12:30 作者: TOM 時間: 2025-3-26 15:43 作者: Gustatory 時間: 2025-3-26 18:59
,Big Data Improves Visitor Experience at Local, State, and National Parks—Natural Language Processin achieve mental and physical wellbeing. Given the popularity of social networks and availability of smartphones with user-friendly apps, these patrons are recording their visit experiences in the form of online reviews and blogs. The availability of this voluminous data provides an excellent opportu作者: THE 時間: 2025-3-26 21:33 作者: FOLLY 時間: 2025-3-27 05:01 作者: 含糊其辭 時間: 2025-3-27 06:19 作者: 談判 時間: 2025-3-27 13:24
Fluorescent Carbon Nanostructures,al with their data growth in a way that compliments the data getting bigger, faster and exponentially more voluminous. They must also learn to deal with data in new and different unstructured forms. This phenomenon is called Big Data. This chapter aims to present other definitions for Big Data, as w作者: CRAFT 時間: 2025-3-27 16:44
Smart Luminescent Nanocomposites,s and laboratory equipment, imaging, and patient demographics have greatly increased the capability to closely monitor, diagnose, and administer therapies to patients. This chapter focuses on the use of data for in-patient care management in high-acuity spaces, such as operating rooms (ORs), intensi作者: 斥責 時間: 2025-3-27 20:14 作者: Budget 時間: 2025-3-27 23:26 作者: 混合 時間: 2025-3-28 05:36 作者: 百靈鳥 時間: 2025-3-28 08:01
https://doi.org/10.1007/978-3-031-53558-1 achieve mental and physical wellbeing. Given the popularity of social networks and availability of smartphones with user-friendly apps, these patrons are recording their visit experiences in the form of online reviews and blogs. The availability of this voluminous data provides an excellent opportu作者: BRAWL 時間: 2025-3-28 11:33
https://doi.org/10.1007/978-3-030-85642-7decisions. Directly, or with the right analytical methods, these data may reveal private information such as preferences and choices, as well as bargaining positions. Therefore, these data may be both personal or of strategic importance to companies, which may distort the value of Big Data. Conseque作者: 商品 時間: 2025-3-28 16:54 作者: Buttress 時間: 2025-3-28 20:18
Ali Emrouznejad,Vincent CharlesHighlights recent developments and challenges in Big Data.Introduces novel optimization algorithms and codes that can be used in the Big Data setting and are useful for the public.Written by respected作者: acrophobia 時間: 2025-3-29 00:57
Studies in Big Datahttp://image.papertrans.cn/b/image/185693.jpg作者: Adornment 時間: 2025-3-29 04:59 作者: 效果 時間: 2025-3-29 09:32 作者: 地名表 時間: 2025-3-29 13:49
10樓作者: ARBOR 時間: 2025-3-29 19:19
10樓作者: FLAIL 時間: 2025-3-29 21:22
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