標題: Titlebook: Data-Enabled Analytics; DEA for Big Data Joe Zhu,Vincent Charles Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive [打印本頁] 作者: charity 時間: 2025-3-21 17:51
書目名稱Data-Enabled Analytics影響因子(影響力)
書目名稱Data-Enabled Analytics影響因子(影響力)學科排名
書目名稱Data-Enabled Analytics網(wǎng)絡公開度
書目名稱Data-Enabled Analytics網(wǎng)絡公開度學科排名
書目名稱Data-Enabled Analytics被引頻次
書目名稱Data-Enabled Analytics被引頻次學科排名
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書目名稱Data-Enabled Analytics年度引用學科排名
書目名稱Data-Enabled Analytics讀者反饋
書目名稱Data-Enabled Analytics讀者反饋學科排名
作者: Exhilarate 時間: 2025-3-21 21:44 作者: nephritis 時間: 2025-3-22 01:01
Book 2021ers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.作者: enlist 時間: 2025-3-22 07:55 作者: 你敢命令 時間: 2025-3-22 12:34
0884-8289 A has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.978-3-030-75164-7978-3-030-75162-3Series ISSN 0884-8289 Series E-ISSN 2214-7934 作者: 使激動 時間: 2025-3-22 16:54 作者: 使激動 時間: 2025-3-22 20:13 作者: 強化 時間: 2025-3-22 23:53
Magda Pischetola,Lone Dirckinck-Holmfeldractice. The network paradigm provides a versatile and efficient modelling framework that allows computing a wide array of quantitative characterization measures as well as powerful visualization capabilities. The methodology is illustrated with data on how the COVID-19 pandemic has affected the different countries.作者: nonsensical 時間: 2025-3-23 02:47
Network DEA and Big Data with an Application to the Coronavirus Pandemic,rable and undesirable outputs, and the reallocation of inputs, across time, to optimize production. An example of the use of NDEA is offered for the Covid Pandemic in the US. We find that an optimal reallocation of tests for Covid could have averted 10,800 deaths.作者: 大喘氣 時間: 2025-3-23 08:56
Hierarchical Data Envelopment Analysis for Classification of High-Dimensional Data,d security attributes. Furthermore, the findings can be used to assist countries in projecting learning path from other high-performing nations. Such path information doesn’t exist when country grouping is carried out using personal judgement thus reduces subjectivity in measuring multiple food security performance attributes.作者: 帶來的感覺 時間: 2025-3-23 11:02
Dominance Network Analysis: Hybridizing Dea and Complex Networks for Data Analytics,ractice. The network paradigm provides a versatile and efficient modelling framework that allows computing a wide array of quantitative characterization measures as well as powerful visualization capabilities. The methodology is illustrated with data on how the COVID-19 pandemic has affected the different countries.作者: 引導 時間: 2025-3-23 15:55
https://doi.org/10.1007/978-981-13-0641-9with small variation in prices) does not significantly affect the DEA estimates under the price-based aggregation approach. Moreover, the estimated efficiency scores from DEA models are also robust with respect to the two different aggregation approaches.作者: Aromatic 時間: 2025-3-23 21:15
Introduction on Nye’s Theory of Soft Powerexisting method is changed when cardinality, dimension, density, and the number of processors in parallel are changed. A new methodology is proposed using the combination of two existing methods. In general, the proposed method is faster than all existing methods regardless of cardinalities, dimensions, and densities.作者: obstinate 時間: 2025-3-24 02:01
Aggregation of Outputs and Inputs for DEA Analysis of Hospital Efficiency: Economics, Operations Rewith small variation in prices) does not significantly affect the DEA estimates under the price-based aggregation approach. Moreover, the estimated efficiency scores from DEA models are also robust with respect to the two different aggregation approaches.作者: hegemony 時間: 2025-3-24 02:53
Parallel Processing and Large-Scale Datasets in Data Envelopment Analysis,existing method is changed when cardinality, dimension, density, and the number of processors in parallel are changed. A new methodology is proposed using the combination of two existing methods. In general, the proposed method is faster than all existing methods regardless of cardinalities, dimensions, and densities.作者: deficiency 時間: 2025-3-24 07:03
Book 2021ers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.作者: grovel 時間: 2025-3-24 12:53 作者: ODIUM 時間: 2025-3-24 18:12
Andreas Ch. Hadjichambis,Pedro Reis applied across a myriad of domains. Over the past years, various advancements in big data have captured the attention of DEA scholars, which in turn, has translated into the emergence of new research strands. In the present work, we perform a systematic literature review with bibliometric analysis 作者: 臭了生氣 時間: 2025-3-24 19:24 作者: MAPLE 時間: 2025-3-25 01:01 作者: 使困惑 時間: 2025-3-25 06:53 作者: 溫和女孩 時間: 2025-3-25 08:15 作者: pester 時間: 2025-3-25 15:31
Introduction on Nye’s Theory of Soft Powerved once for each DMU. In data enabled analytics, when a large-scale dataset is evaluated, the elapsed time to apply a DEA model substantially increases. Parallel processing allows splitting the task into several parts so each part can simultaneously be executed on different processors. This study e作者: CLAM 時間: 2025-3-25 17:12 作者: 領巾 時間: 2025-3-25 23:00
https://doi.org/10.1007/978-981-13-3474-0ttributes and sub attributes in a hierarchical setting. The objective of this chapter is to examine global food security performance using H-DEA model and later uses multi-level K means clustering approach to cluster sampled countries into homogeneous and distinct groups. Under proposed H-DEA with c作者: 愛花花兒憤怒 時間: 2025-3-26 03:06
Magda Pischetola,Lone Dirckinck-Holmfeldely used for data analytics of multidimensional datasets. This is particularly so when hybridized with complex network analysis tools. One such hybridization is Dominance Network Analysis, which is based on representing the data through the dominance relationships between the observations. The analy作者: Lime石灰 時間: 2025-3-26 07:28
Morten Winther Bülow,Rikke Toft N?rg?rdFs against peers also do receive considerable attention in MF performance appraisal literature. Evidence of data envelopment analysis (DEA) playing a big part here is increasing. DEA appraises performance in a multidimensional framework and can accommodate data from different sources and in differen作者: bronchiole 時間: 2025-3-26 11:28 作者: patella 時間: 2025-3-26 12:41 作者: mettlesome 時間: 2025-3-26 19:18 作者: 貞潔 時間: 2025-3-27 00:49
978-3-030-75164-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 中古 時間: 2025-3-27 02:59
Joe Zhu,Vincent CharlesExplores novel uses of Data Envelopment Analysis and Big Data.Introduces DEA as a data mining tool, under the big data umbrella.Exams DEA models beyond their present scope and mine new insights for be作者: cardiopulmonary 時間: 2025-3-27 08:17 作者: 有助于 時間: 2025-3-27 09:42 作者: 責問 時間: 2025-3-27 16:46 作者: 財產 時間: 2025-3-27 19:29
The Estimation of Productive Efficiency Through Machine Learning Techniques: Efficiency Analysis Tr to production theory and engineering. Many parametric and nonparametric approaches have been introduced in the last forty years for estimating production frontiers given a data sample. However, few of these methodologies are based on machine learning techniques, despite being a growing field of res作者: prosperity 時間: 2025-3-27 22:29
Hybrid Data Science and Reinforcement Learning in Data Envelopment Analysis,e functional form identification of the production frontier and the RL derives the optimal resource reallocation policy which guides the productivity improvement. In fact, both DS and RL techniques complement efficiency analysis. Emphasizes on planning over evaluation, we use data generating process作者: Connotation 時間: 2025-3-28 06:09 作者: Moderate 時間: 2025-3-28 08:27
Parallel Processing and Large-Scale Datasets in Data Envelopment Analysis,ved once for each DMU. In data enabled analytics, when a large-scale dataset is evaluated, the elapsed time to apply a DEA model substantially increases. Parallel processing allows splitting the task into several parts so each part can simultaneously be executed on different processors. This study e作者: 草本植物 時間: 2025-3-28 11:18 作者: 裁決 時間: 2025-3-28 16:55 作者: 嚴重傷害 時間: 2025-3-28 22:44 作者: 遠地點 時間: 2025-3-29 02:06 作者: BRACE 時間: 2025-3-29 05:26 作者: Glutinous 時間: 2025-3-29 08:06 作者: 財產 時間: 2025-3-29 14:13
Andreas Ch. Hadjichambis,Pedro Reises have been carried out in the area of environmental efficiency evaluation. This work should contribute to the construction of an overview of the existing literature on DEA-big data studies, as well as stimulate the interest in the topic.作者: 周興旺 時間: 2025-3-29 18:14
Jelle Boeve-de Pauw,Rares Halbac-Zamfired method using numerical cases involving large-scale data. After computing the DEA scores of the DMUs in both the observed and simulated samples, we find that the proposed DEA-RF method can decrease computation time significantly, while ensuring an acceptable level of accuracy. Additionally, the la作者: Irascible 時間: 2025-3-29 21:06 作者: NICE 時間: 2025-3-29 23:52
Morten Winther Bülow,Rikke Toft N?rg?rdt aligns with the concept of value dimension in big data. MF performance appraisal studies that use DEA demonstrate how different types of network structures can reveal performance from different perspectives such as operational management, marketing and selling management, disbursements (cost, expe作者: 違抗 時間: 2025-3-30 07:22
Morten Winther Bülow,Rikke Toft N?rg?rdiciency is stable during the sample period; (3) On average, with the acceleration of interest rate market liberalization, the efficiency of Chinese commercial banks has improved slightly. But its improvement is insignificant; (4) For different types of banks the efficiency of state-owned commercial 作者: 含水層 時間: 2025-3-30 11:59 作者: wreathe 時間: 2025-3-30 16:03