Big spatio‐temporal data mining for emergency management information systems

Dagaeva, Maria; Garaeva, Alina; Anikin, Igor V.; Makhmutova, Alisa; Minnikhanov, Rifkat

doi:10.1049/iet-its.2019.0171

Cited by 24 publications

(12 citation statements)

References 14 publications

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“…Different nodes correspond to three performance dimensions: stakeholder satisfaction, key issue resolution, and organizational administration status. The separate, pairwise combination and three-dimensional integration of different dimensions include the possible combinations of government performance evaluation [ 19 ]. Hong et al divided the indicator system into three levels: the first level indicator evaluation dimension, the second level indicator focuses on the results of internal functions of the organization, and the third level can be divided into factor indicators, evidence indicators and quantitative indicators.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Comprehensive Evaluation of Government Economic Management Performance Based on Multidimensional Data Mining in Fuzzy Comprehensive Environment

Wang

2022

Journal of Environmental and Public Health

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Economic, political, social, and military activities all fall under the umbrella of government duties. The modification and reinterpretation of economic functions are the primary focus of the innovation in government administration style under the wave of economic globalisation. The effectiveness of the government’s economic administration determines the general level of public administration at the federal level. An essential issue of national public administration that has a significant impact on the political growth of many nations is the performance evaluation of government economic administration. The people are the subject of government economic administration performance evaluation, and the people adjudicate the outcomes. An essential method of assessing the productivity of various departments is through performance review. The nation is currently in the process of switching from its long-standing planned economic system to a market economic system. The internal and external environments of governmental organisations are continually changing in addition to the strong trend of economic globalisation. Determining and advancing the national government’s economic administration model is so crucial. The article offers a multidimensional data mining-based optimum design scheme for the thorough assessment of government economic administration performance. The fuzzy comprehensive evaluation rule is an effective method for quantifying the qualitative indicators when the quantitative indicators in the evaluation index system are difficult to measure. It is relatively simple, reasonable, and simple to operate in practise, which is conducive to the thorough and scientific performance evaluation of the government economic administration’s science and technology administration functions. Following an assessment of the system’s performance using association rule data mining technologies, a simulation test analysis is completed. The accuracy of the proposed arithmetic, which is 8.26% higher than the conventional arithmetic, is demonstrated by simulation results. The development of an evaluation model that incorporates both subjective and objective criteria, as well as the thorough assessment of the effectiveness of government economic administration based on data mining technologies, has excellent application prospects and practical value.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Comprehensive Evaluation of Government Economic Management Performance Based on Multidimensional Data Mining in Fuzzy Comprehensive Environment

Wang

2022

Journal of Environmental and Public Health

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“…Thus, the model is adequate and suitable for use in intelligent detection systems for network scanning attacks [22]. As a direction for further research, it is proposed to develop other models and evaluate the results obtained on the basis of other methods of data mining [23][24][25][26][27][28]. In addition, the actual construction and practical use of intelligent decision support systems [29][30][31][32][33][34] to identify and prevent network attacks on computer systems.…”

Section: Discussionmentioning

confidence: 99%

Neural Network Model for Detecting Network Scanning Attacks

Panischev¹,

Makridin²,

Katasev³

et al. 2020

International Journal of Engineering Research and Technology

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“…In this paper, it is proposed to use the following blur modifiers: CLOSE (5% of blur), ABOUT (10%), APPROXIMATE (25%), COARSE (50%). Fuzzy restrictions on the parameters of the "List of values" type are determined using the membership function, formed by an expert way [29][30][31]. The weights of fuzzy constraints j w are formed expertly using the hierarchy analysis method [32].…”

Section: Methodsmentioning

confidence: 99%