標(biāo)題: Titlebook: Assessing Urban Transportation with Big Data Analysis; Dongyuan Yang,Zhengyu Duan Book 2022 Tongji University Press Co., Ltd. 2022 Urban T [打印本頁(yè)] 作者: HAND 時(shí)間: 2025-3-21 17:04
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作者: Chameleon 時(shí)間: 2025-3-21 23:14
2731-6483 ied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike..978-981-19-3340-0978-981-19-3338-7Series ISSN 2731-6483 Series E-ISSN 2731-6491 作者: Eulogy 時(shí)間: 2025-3-22 03:45
,“A Cool Head” in the “Boom” of Big Data,ther with the rest of the world in the transportation sphere, China would still “fall behind at the starting line” in the race of technological innovation if no profound insights are gained into the budding doctrine revolution.作者: mastopexy 時(shí)間: 2025-3-22 05:41
Feature Extraction, Cluster Analysis and Object Representation,asurement concept often leads to incompatibility and may lose the important information contained in the data. Therefore, it is necessary to probe into feature extraction issues according to new data characteristics.作者: 吞吞吐吐 時(shí)間: 2025-3-22 11:35
Book 2022c planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike..作者: 尖牙 時(shí)間: 2025-3-22 14:15 作者: 彩色 時(shí)間: 2025-3-22 20:58
Diana Mata-Codesal,Maria Abranchesasurement concept often leads to incompatibility and may lose the important information contained in the data. Therefore, it is necessary to probe into feature extraction issues according to new data characteristics.作者: Outmoded 時(shí)間: 2025-3-22 21:47
2731-6483 affic.Offers a valuable asset for information technicians, t.This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex a作者: 遍及 時(shí)間: 2025-3-23 03:21 作者: ALIAS 時(shí)間: 2025-3-23 07:10
Food Parcels in International Migration never simply indicate the data in large quantities, point to a combination of data sets from different sources, different times and different characteristics and potential capacities of multi-angle and multi-level continuous observation and analysis.作者: Aerate 時(shí)間: 2025-3-23 11:08
Ludger O. Figura,Arthur A. Teixeirawith the association identified. Association is not equal to cause and effect, and mechanism research is not the strong point of big data analysis. Therefore, it is necessary to explore paths that combine big data-based mastery of overall situation with the causal analysis through model/simulation with the support of small sample data.作者: PALL 時(shí)間: 2025-3-23 15:36 作者: Optic-Disk 時(shí)間: 2025-3-23 20:48 作者: 斥責(zé) 時(shí)間: 2025-3-24 00:55 作者: invulnerable 時(shí)間: 2025-3-24 05:45 作者: yohimbine 時(shí)間: 2025-3-24 06:31 作者: Archipelago 時(shí)間: 2025-3-24 13:43 作者: CANDY 時(shí)間: 2025-3-24 17:27
Urban Sustainabilityhttp://image.papertrans.cn/b/image/163288.jpg作者: predict 時(shí)間: 2025-3-24 22:56 作者: Fermentation 時(shí)間: 2025-3-25 02:39
Ludger O. Figura,Arthur A. Teixeira system and then obtain more accurate results for judgment. For urban transportation analysis technologies in the context of big data, the purpose of information fusion is to construct an effective evidence collection to support the judgment and decision-making of the problem.作者: Iniquitous 時(shí)間: 2025-3-25 04:10
Geometric Properties: Size and Shape,elopment. The core task of urban transportation big data analysis is to transform “data resources” into “decision-making capabilities” so as to improve the implementation effect of urban transportation countermeasures.作者: 無(wú)可非議 時(shí)間: 2025-3-25 09:20 作者: 友好關(guān)系 時(shí)間: 2025-3-25 12:00
Association and Correlation Analysis,In the face of the complexity of urban transportation, with an approach based on big data to seek various connections in the system, identify the signs of problems, verify the hypotheses, and explore the unknown laws, the significance of association analysis has far extended beyond the simple concept of data mining.作者: Gastric 時(shí)間: 2025-3-25 16:24 作者: Palter 時(shí)間: 2025-3-25 22:41
https://doi.org/10.1007/978-3-319-40373-1tem from understanding instead of courage and determination. The greatest value of transportation big data lies in helping understand the research objects with complex adaptive system characteristics, and intervene in the evolution of the system through “response in a timely manner”, with a view to 作者: admission 時(shí)間: 2025-3-26 04:09 作者: HAIL 時(shí)間: 2025-3-26 04:34
Diana Mata-Codesal,Maria Abranchesepend on the subjective perception of the researchers, thereby resulting in the possibility of sharp differences in obtained knowledge based on the same data. Since measurement system is closely related to fundamental conditions of the data, simply cramming big data into the traditional technical me作者: 索賠 時(shí)間: 2025-3-26 10:51 作者: avulsion 時(shí)間: 2025-3-26 15:52
Ludger O. Figura,Arthur A. Teixeiraffect the overall situation or require decision makers to reach a consensus, it is still difficult for decision makers to take decisive action merely with the association identified. Association is not equal to cause and effect, and mechanism research is not the strong point of big data analysis. Th作者: Accede 時(shí)間: 2025-3-26 19:50
Geometric Properties: Size and Shape,elopment. The core task of urban transportation big data analysis is to transform “data resources” into “decision-making capabilities” so as to improve the implementation effect of urban transportation countermeasures.作者: 態(tài)學(xué) 時(shí)間: 2025-3-26 22:53
Information Fusion and Construction of Evidence Collection, system and then obtain more accurate results for judgment. For urban transportation analysis technologies in the context of big data, the purpose of information fusion is to construct an effective evidence collection to support the judgment and decision-making of the problem.作者: Fibrillation 時(shí)間: 2025-3-27 02:37
Conclusions and Reflections,elopment. The core task of urban transportation big data analysis is to transform “data resources” into “decision-making capabilities” so as to improve the implementation effect of urban transportation countermeasures.作者: 束縛 時(shí)間: 2025-3-27 05:19
,“A Cool Head” in the “Boom” of Big Data,urban transportation, the specific progress has been dominated by technology application rather than the contribution of doctrine revolution over the years. For this reason, the concept of big data rapidly triggers upsurging research enthusiasm. Although China keeps abreast of big data research toge作者: 藕床生厭倦 時(shí)間: 2025-3-27 10:08 作者: Repetitions 時(shí)間: 2025-3-27 16:36 作者: 高度 時(shí)間: 2025-3-27 20:15 作者: 老人病學(xué) 時(shí)間: 2025-3-28 00:04
Information Fusion and Construction of Evidence Collection, system and then obtain more accurate results for judgment. For urban transportation analysis technologies in the context of big data, the purpose of information fusion is to construct an effective evidence collection to support the judgment and decision-making of the problem.作者: invulnerable 時(shí)間: 2025-3-28 05:35 作者: Oversee 時(shí)間: 2025-3-28 07:02 作者: VAN 時(shí)間: 2025-3-28 12:07 作者: 婚姻生活 時(shí)間: 2025-3-28 16:59 作者: 軍火 時(shí)間: 2025-3-28 19:25
