標(biāo)題: Titlebook: ; [打印本頁(yè)] 作者: firearm 時(shí)間: 2025-3-21 18:54
書(shū)目名稱Guide to Big Data Applications影響因子(影響力)
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書(shū)目名稱Guide to Big Data Applications讀者反饋
書(shū)目名稱Guide to Big Data Applications讀者反饋學(xué)科排名
作者: Countermand 時(shí)間: 2025-3-21 22:37 作者: intercede 時(shí)間: 2025-3-22 01:19
Conclusions, Contributions, and Future Work,pitals have the data from local patients. On the other hand, data from the same patient can also spread across multiple hospitals and institutions when she makes multiple visits. There are many benefits to use distributed data together in research studies but it is challenging to pool the raw data d作者: Volatile-Oils 時(shí)間: 2025-3-22 04:54 作者: phlegm 時(shí)間: 2025-3-22 10:00 作者: Ventilator 時(shí)間: 2025-3-22 16:43
https://doi.org/10.1007/978-1-4614-4921-8ystems. Big Data or analytics platforms share some of the same characteristics but as of today are limited somewhat in their guarantees on latency and throughput. The application of Big Data platforms has been in solving problems where data that is being operated upon is in motion while HPC has trad作者: Ventilator 時(shí)間: 2025-3-22 18:28 作者: 玷污 時(shí)間: 2025-3-22 22:23 作者: 核心 時(shí)間: 2025-3-23 02:23
Singular Integral Equations in Aerodynamics,. This phenomenon has been observed in various real-world social networks, dating back to a seminal 1991 paper by S.L. Feld. In recent years, the availability of large volumes of data on online social networks has allowed researchers to also study generalizations of the core friendship-paradox idea 作者: 小卷發(fā) 時(shí)間: 2025-3-23 08:53
Distributional Equations on the Whole Line,ying the redundancy in data, removing all but one copy (or . copies) of duplicate data, and making all references point to that copy. Existing techniques often require access to the content of data in order to establish redundancy. As more sensitive information is stored on clouds, encryption is com作者: 心神不寧 時(shí)間: 2025-3-23 10:54 作者: FRONT 時(shí)間: 2025-3-23 16:39
https://doi.org/10.1007/978-981-13-6500-3 (SHM) plays a significant role in preventing and mitigating the course of structural damage. In this work, a multi-scale SHM framework based on Hadoop Ecosystem (MS-SHM-Hadoop) to monitor and evaluate the serviceability of civil infrastructure is proposed. Through utilizing fault-tolerant distribut作者: CAND 時(shí)間: 2025-3-23 18:50
Michael Griebel,Alexander Hullmannied and modeled since the nineteenth century and currently applied in almost all branches of sciences and engineering including social sciences. The development of computers and scientific/numerical methods has accelerated the pace of new developments in modeling both linear and nonlinear dynamical 作者: 傲慢人 時(shí)間: 2025-3-23 23:33
https://doi.org/10.1007/978-94-011-4619-7althcare, it has also sparked the need for . medical expertise with Big-data. Such scientific temperament and skills for end-to-end translation of Big-data to Big-knowledge have been encapsulated into the new specialty of .. This chapter discusses the key Data-science technologies that are enabling 作者: debacle 時(shí)間: 2025-3-24 02:48
Mathematics and Its Applicationsector is to analyze impact of comorbidities. Comorbidity is a medical condition when a patient develops multiple diseases simultaneously. The research on finding comorbidities over time is rare. In this paper, our focus is to find time-based comorbidities in the patients diagnosed with Tobacco Use D作者: thwart 時(shí)間: 2025-3-24 07:20
James B. Elsner,Anastasios A. Tsonisy. One way in which technology has begun to truly transform healthcare is with big data and big data analytics. Using sophisticated tools to capture, aggregate, and translate data across multiple sources, ranging from traditional electronic health records to non-traditional consumer devices, big dat作者: malapropism 時(shí)間: 2025-3-24 11:56 作者: Commonplace 時(shí)間: 2025-3-24 18:50
Start with Privacy by Design in All Big Data Applicationsrmation architectures and applications to facilitate the fast processing speeds and the visualization needed to analyze and extract value from these extremely large sets of data, using distributed platforms. While not all data in Big Data applications will be personally identifiable, when this is th作者: Harrowing 時(shí)間: 2025-3-24 19:00
Privacy Preserving Federated Big Data Analysispitals have the data from local patients. On the other hand, data from the same patient can also spread across multiple hospitals and institutions when she makes multiple visits. There are many benefits to use distributed data together in research studies but it is challenging to pool the raw data d作者: osteocytes 時(shí)間: 2025-3-25 01:05
Word Embedding for Understanding Natural Language: A Survey. The extracted features thus could be organized in low dimensional space. Some representative word embedding approaches include Probability Language Model, Neural Networks Language Model, Sparse Coding, etc. The state-of-the-art methods like skip-gram negative samplings, noise-contrastive estimatio作者: 故意 時(shí)間: 2025-3-25 05:40
Big Data Solutions to Interpreting Complex Systems in the Environmenteanic and Atmospheric Administration (NOAA) has published vast data resources and tremendous volumes of high quality environmental data. Analyzing those data sets poses unprecedented challenges and opportunities to environmental scientists. The goal of this chapter is to present a practical investig作者: 連累 時(shí)間: 2025-3-25 09:14 作者: propose 時(shí)間: 2025-3-25 15:04
Managing Uncertainty in Large-Scale Inversions for the Oil and Gas Industry with Big Data the increasing volume of data collected by the oil and gas industry, there is an urgent need for addressing large-scale inverse problems. In this article, after examining both deterministic and statistical methods that are scalable for managing large volume of data, we present the MapReduce paradig作者: Commission 時(shí)間: 2025-3-25 18:50 作者: Criteria 時(shí)間: 2025-3-25 22:12
Friendship Paradoxes on Quora. This phenomenon has been observed in various real-world social networks, dating back to a seminal 1991 paper by S.L. Feld. In recent years, the availability of large volumes of data on online social networks has allowed researchers to also study generalizations of the core friendship-paradox idea 作者: Progesterone 時(shí)間: 2025-3-26 03:52 作者: 語(yǔ)源學(xué) 時(shí)間: 2025-3-26 05:50 作者: reperfusion 時(shí)間: 2025-3-26 12:02 作者: 車(chē)床 時(shí)間: 2025-3-26 14:10 作者: 衍生 時(shí)間: 2025-3-26 17:07 作者: Motilin 時(shí)間: 2025-3-27 00:40 作者: GRIEF 時(shí)間: 2025-3-27 03:48
The Impact of Big Data on the Physiciany. One way in which technology has begun to truly transform healthcare is with big data and big data analytics. Using sophisticated tools to capture, aggregate, and translate data across multiple sources, ranging from traditional electronic health records to non-traditional consumer devices, big dat作者: 獸群 時(shí)間: 2025-3-27 08:46
Magnets and Coils for Single-Sided NMR,and non-profit spheres. Throughout this chapter, we will provide examples of the uses of big data analysis in assessing environmental impact and change in real-time in hopes of initiating discussion towards benchmarking key features and considerations of big data techniques.作者: Carminative 時(shí)間: 2025-3-27 13:05
Big Data Solutions to Interpreting Complex Systems in the Environmentand non-profit spheres. Throughout this chapter, we will provide examples of the uses of big data analysis in assessing environmental impact and change in real-time in hopes of initiating discussion towards benchmarking key features and considerations of big data techniques.作者: 祝賀 時(shí)間: 2025-3-27 15:57
Single-Dose Antibiotikaprophylaxe to develop new insights. These digital disciplines can create unparalleled customer value, galvanize corporate strategy, and link information technologies to the ultimate success of any business in any vertical.作者: 有權(quán) 時(shí)間: 2025-3-27 19:20
https://doi.org/10.1007/978-94-017-3004-4he lessons that petrophysics scientists and software developers can learn from the Big Data best practices in terms of implementation from other industries.These recommendations are based on an actual implementation and our Big Data teaching and implementation experience.作者: cloture 時(shí)間: 2025-3-28 00:20 作者: 脫毛 時(shí)間: 2025-3-28 04:29 作者: 雪上輕舟飛過(guò) 時(shí)間: 2025-3-28 07:16 作者: forager 時(shí)間: 2025-3-28 12:30
Privacy-Aware Search and Computation Over Encrypted Data Storesyption scheme. We’ll also discuss some of the most promising developments in recent years: performing range query through the use of order-preserving encryption and computing over ciphertext using homomorphic encryption. To better illustrate the techniques, the schemes are described in various sample applications involving text and media search.作者: 鴕鳥(niǎo) 時(shí)間: 2025-3-28 15:29
Managing Uncertainty in Large-Scale Inversions for the Oil and Gas Industry with Big Dataicle, after examining both deterministic and statistical methods that are scalable for managing large volume of data, we present the MapReduce paradigm as a potential speed up technique for future implementations.作者: 思考才皺眉 時(shí)間: 2025-3-28 19:26
Vom Forschungsproblem zu den Daten,icle, after examining both deterministic and statistical methods that are scalable for managing large volume of data, we present the MapReduce paradigm as a potential speed up technique for future implementations.作者: 分散 時(shí)間: 2025-3-29 00:52 作者: 與野獸博斗者 時(shí)間: 2025-3-29 04:12
Privacy Preserving Federated Big Data AnalysisSpecifically, consensus and sharing problems are formulated under the ADMM framework for horizontally and vertically partitioned data, respectively. We further introduce secure multiparty computation (SMC) protocols to protect the intermediary results in communication. We also introduce asynchronous作者: 驚奇 時(shí)間: 2025-3-29 10:38
Word Embedding for Understanding Natural Language: A Surveynd background of word embedding. Next we will introduce the methods of text representation as preliminaries, as well as some existing word embedding approaches such as Neural Network Language Model and Sparse Coding Approach, along with their evaluation metrics. In the end, we summarize the applicat作者: Encoding 時(shí)間: 2025-3-29 12:18
High Performance Computing and Big DatangHigh Performance to Big Data platforms means addressing thefollowing:.In order to achieve 1, 2, 3, 4 mentioned above, the right hardware and software components need to be chosen. With the plethora of software stacks and different kinds of hardware infrastructure–including public/private cloud, on作者: Entirety 時(shí)間: 2025-3-29 16:51
Friendship Paradoxes on Quorae following one another on Quora, we also study variants of the phenomenon that arise through the platform’s core interactions. We specifically focus on “upvoting” and “downvoting,” actions that people take to give positive and negative feedback on Quora answers. We observe that, for most answer aut作者: Amendment 時(shí)間: 2025-3-29 23:09
Deduplication Practices for Multimedia Data in the Cloudorg/images-a-videos-really-big-data/. Accessed 24 August 2016, 2012). In this chapter, we will give an overview of some of the best practices to achieve efficient deduplication for multimedia content.作者: chlorosis 時(shí)間: 2025-3-30 00:48
Civil Infrastructure Serviceability Evaluation Based on Big Dataility analysis. The nationwide civil infrastructure survey uses deep-learning techniques to evaluate their serviceability according to real-time sensory data or archived civil infrastructure related data such as traffic status, weather conditions and civil infrastructure’s structural configuration. 作者: abnegate 時(shí)間: 2025-3-30 04:38
Nonlinear Dynamical Systems with Chaos and Big Data: A Case Study of Epileptic Seizure Prediction ans HPCmatlab enable rapid prototyping of algorithms for large scale computations and data analysis. BigData applications are computationally intensive and I/O bound. An example, state of the art case study involving big data of epileptic seizure prediction and control is presented. The nonlinear dyna作者: SPALL 時(shí)間: 2025-3-30 08:40
Big Data to Big Knowledge for Next Generation Medicine: A Data Science Roadmapvariate models that enable policy and decisions are elaborated. These are discussed in the context of case studies across critical care to community health. . initiatives ranging from . to . are geared towards such Data-science driven integration and are briefly discussed. This leads to the biggest 作者: 生命層 時(shí)間: 2025-3-30 15:55
Time-Based Comorbidity in Patients Diagnosed with Tobacco Use Disordersults indicating that some comorbidities are different in TUD and non-TUD patients over time, but not others. The knowledge about the time-based comorbidities can help physicians take preemptive actions to prevent future diseases.作者: 閹割 時(shí)間: 2025-3-30 19:31
The Impact of Big Data on the Physiciansystems interoperability, privacy and security, and legal and regulatory boundaries will need to be resolved. This chapter is intended to be an overview of big data applications and potential challenges as they relate to the patient and physician.作者: 敲詐 時(shí)間: 2025-3-30 21:55 作者: 直言不諱 時(shí)間: 2025-3-31 01:51
Conclusions, Contributions, and Future Work,Specifically, consensus and sharing problems are formulated under the ADMM framework for horizontally and vertically partitioned data, respectively. We further introduce secure multiparty computation (SMC) protocols to protect the intermediary results in communication. We also introduce asynchronous作者: 灰姑娘 時(shí)間: 2025-3-31 06:29
SPECT-Darstellung der Dopamin-D2-Rezeptorennd background of word embedding. Next we will introduce the methods of text representation as preliminaries, as well as some existing word embedding approaches such as Neural Network Language Model and Sparse Coding Approach, along with their evaluation metrics. In the end, we summarize the applicat作者: BLAND 時(shí)間: 2025-3-31 11:43 作者: Meditative 時(shí)間: 2025-3-31 16:58
Singular Integral Equations in Aerodynamics,e following one another on Quora, we also study variants of the phenomenon that arise through the platform’s core interactions. We specifically focus on “upvoting” and “downvoting,” actions that people take to give positive and negative feedback on Quora answers. We observe that, for most answer aut作者: conifer 時(shí)間: 2025-3-31 21:21
Distributional Equations on the Whole Line,org/images-a-videos-really-big-data/. Accessed 24 August 2016, 2012). In this chapter, we will give an overview of some of the best practices to achieve efficient deduplication for multimedia content.
