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Erschienen in: Neural Computing and Applications 12/2019

03.11.2018 | Machine Learning - Applications & Techniques in Cyber Intelligence

RETRACTED ARTICLE: Machine learning in explaining nonprofit organizations’ participation: a driving factors analysis approach

verfasst von: Zhanxue Gong, Xiyuan Li, Jiawen Liu, Yeming Gong

Erschienen in: Neural Computing and Applications | Ausgabe 12/2019

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Abstract

The construction of smart cities requires the participation of nonprofit organizations, but there are still some problems in the analysis of driving factors of participation. Based on this, using the structural equation model as the research method, a public satisfaction relationship model, based on the machine learning, for nonprofit organizations participating in the construction planning of smart cities was constructed in this study. At the same time, corresponding assumptions are set, and data are collected through questionnaires. Afterward, the Likert tenth scale was used to score questionnaire questions, and deep learning was conducted in conjunction with the model. The research shows that the model established in this study has good analytical results and has certain practical effects. It can provide suggestions for optimization and can provide theoretical references for subsequent research.

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Literatur
1.
Zurück zum Zitat Batty M (2013) Big data, smart cities and city planning. Dialogues Hum Geogr 3(3):274CrossRef Batty M (2013) Big data, smart cities and city planning. Dialogues Hum Geogr 3(3):274CrossRef
2.
Zurück zum Zitat Hashem IAT, Chang V, Anuar NB et al (2016) The role of big data in smart city. Int J Inf Manag 36(5):748–758CrossRef Hashem IAT, Chang V, Anuar NB et al (2016) The role of big data in smart city. Int J Inf Manag 36(5):748–758CrossRef
3.
Zurück zum Zitat Girtelschmid S, Steinbauer M, Kumar V et al (2014) On the application of big data in future large-scale intelligent Smart City installations. Int J Pervasive Comput Commun 10(2):322–328CrossRef Girtelschmid S, Steinbauer M, Kumar V et al (2014) On the application of big data in future large-scale intelligent Smart City installations. Int J Pervasive Comput Commun 10(2):322–328CrossRef
4.
Zurück zum Zitat Silva BN, Khan M, Han K (2017) Big data analytics embedded smart city architecture for performance enhancement through real-time data processing and decision-making. Wirel Commun Mob Comput 2017(7):1–12CrossRef Silva BN, Khan M, Han K (2017) Big data analytics embedded smart city architecture for performance enhancement through real-time data processing and decision-making. Wirel Commun Mob Comput 2017(7):1–12CrossRef
5.
Zurück zum Zitat Rathore MM, Paul A, Ahmad A et al (2017) IoT-based big data: from smart city towards next generation super city planning. Int J Semant Web Inf Syst 13(1):28–47CrossRef Rathore MM, Paul A, Ahmad A et al (2017) IoT-based big data: from smart city towards next generation super city planning. Int J Semant Web Inf Syst 13(1):28–47CrossRef
6.
Zurück zum Zitat Zhu C, Shu L, Leung VCM et al (2017) Secure multimedia big data in trust-assisted sensor-cloud for smart city. IEEE Commun Mag 55(12):24–30CrossRef Zhu C, Shu L, Leung VCM et al (2017) Secure multimedia big data in trust-assisted sensor-cloud for smart city. IEEE Commun Mag 55(12):24–30CrossRef
7.
Zurück zum Zitat Frith J (2017) Big data, technical communication, and the smart city. J Bus Tech Commun 31(2):168–187CrossRef Frith J (2017) Big data, technical communication, and the smart city. J Bus Tech Commun 31(2):168–187CrossRef
8.
Zurück zum Zitat Liu Z (2017) Research on the Internet of Things and the development of smart city industry based on big data. Clust Comput 5:1–7 Liu Z (2017) Research on the Internet of Things and the development of smart city industry based on big data. Clust Comput 5:1–7
9.
Zurück zum Zitat Souza A, Figueredo M, Cacho N et al (2016) Using big data and real-time analytics to support smart city initiatives. IFAC-PapersOnLine 49(30):257–262CrossRef Souza A, Figueredo M, Cacho N et al (2016) Using big data and real-time analytics to support smart city initiatives. IFAC-PapersOnLine 49(30):257–262CrossRef
10.
Zurück zum Zitat Bi Y, Lin C, Zhou H et al (2017) Time-constrained big data transfer for SDN-enabled smart City. IEEE Commun Mag 55(12):44–50CrossRef Bi Y, Lin C, Zhou H et al (2017) Time-constrained big data transfer for SDN-enabled smart City. IEEE Commun Mag 55(12):44–50CrossRef
11.
Zurück zum Zitat Song YM, Kim SA, Shin D (2017) Forthcoming big data on smart buildings and cities: an experimental study on correlations among urban data. World Acad Sci Eng Technol Int J Civil Environ Struct Constr Architect Eng 11(4):501–510 Song YM, Kim SA, Shin D (2017) Forthcoming big data on smart buildings and cities: an experimental study on correlations among urban data. World Acad Sci Eng Technol Int J Civil Environ Struct Constr Architect Eng 11(4):501–510
12.
Zurück zum Zitat Anuradha G, Babu KR (2017) Trends and impact of vehicular tailpipe emission using big data analytics under smart city environment. Int J Sci Eng Res 8(9):269–275 Anuradha G, Babu KR (2017) Trends and impact of vehicular tailpipe emission using big data analytics under smart city environment. Int J Sci Eng Res 8(9):269–275
13.
Zurück zum Zitat Chang HJ, Kim DN (2016) A study on big data utilization for implementation of the resident participation type safe community planning of the smart city. J Korea Inst Inf Electron Commun Technol 9(5):478–495 Chang HJ, Kim DN (2016) A study on big data utilization for implementation of the resident participation type safe community planning of the smart city. J Korea Inst Inf Electron Commun Technol 9(5):478–495
14.
Zurück zum Zitat Tiwari A (2014) Urban sciences, big data and India’s smart city initiative. Glob J Multidiscip Stud 3(12):14–25 Tiwari A (2014) Urban sciences, big data and India’s smart city initiative. Glob J Multidiscip Stud 3(12):14–25
Metadaten
Titel
RETRACTED ARTICLE: Machine learning in explaining nonprofit organizations’ participation: a driving factors analysis approach
verfasst von
Zhanxue Gong
Xiyuan Li
Jiawen Liu
Yeming Gong
Publikationsdatum
03.11.2018
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 12/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-018-3858-6

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