A Survey of Data Mining Implementation in Smart City Applications

Ageed, Zainab Salih; Zeebaree, Subhi R. M.; Sadeeq, Mohammed Mohammed; Kak, Shakir Fattah; Rashid, Zryan Najat; Salih, Azar Abid; Abdullah, Wafaa M.

doi:10.48161/qaj.v1n2a52

Cited by 52 publications

(19 citation statements)

References 51 publications

(57 reference statements)

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“…Additionally, the high courts of clinical medicine changes patients' behaviours towards the medical services and affects the poverty stricken patients who would not afford the plans which are actually needed for the patients for long term cure. It is an immensely obvious factor that the patient who would not be able to afford the medical services which are highly costly to be afforded, they would not recommend the plans to others because of the rated plans and services within that particular organization [13]. These particular issues related to the healthcare sectors and services can leads an complicated challenge which can affects the mental health of the patient and can affect the stability of the healthcare services in a certain pace.…”

Section: Resultsmentioning

confidence: 99%

Predictive Data Mining in Clinical Medicine: Current Issues and Guidelines

Fernando¹,

Jain²

2022

TTIDMKD

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The following study is based on the predictive data mining in clinical medicine where all data have been selected by focusing on the following topic. At the first the brief introduction of data mining, predictive data mining and its usage on the clinical medicines have been shared. Then the required materials and methods have been furnished up next. After that, the usages of predictive data mining in clinical medicines have been elaborated. The usages have been depicted within several parts of, such the use of predictive data mining in the clinical medicines. Also, the uses of different models of predictive data mining have been illustrated within an extensive manner. Later on, the benefits of predictive data mining for the healthcare sector and its profit making and advantages for using predictive data mining for a medical practitioner have been represented by gathering valid insights. Furthermore, the challenges and issues related to healthcare sectors and clinical medicines have ben flaunted in the following study and the strategies to mitigate the problems by using predictive data mining has been depicted within sheer elaboration.

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Section: Resultsmentioning

confidence: 99%

Predictive Data Mining in Clinical Medicine: Current Issues and Guidelines

Fernando¹,

Jain²

2022

TTIDMKD

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“…Development Mechanisms. First, it is argued through the theory of enterprise resource foundation that big data resources have been widely valued and protected by enterprises as a key fundamental resource [14]. eoretically, enterprises need to enhance their utilization of basic resources in the process of development and operation.…”

Section: Methodological Design For Big Data Analysis Of Enterprisementioning

confidence: 99%

Research on the Mechanism of the Sustainable Development Model of Enterprises Based on Big Data Analysis Model

Wei

Yang²,

Cheng

et al. 2021

Mobile Information Systems

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This paper adopts the analysis method of big data to conduct an in-depth analysis and research on the sustainable development mechanism of enterprises, firstly, combing the content and methods of enterprise business performance evaluation, defining enterprise sustainable development, and exploring the integration of enterprise sustainable development and enterprise business performance evaluation by specifically analyzing from different perspectives. Then, we analyze the industry in which the enterprise is located, its business situation, and strategy, and after analyzing the current business performance evaluation system of the enterprise, we point out its problems. The current performance evaluation system is incomplete, focuses only on economic benefits, is not long term, and does not consider the company’s strategy and stakeholders’ needs, which affects its importance and feasibility. Then, the above analysis is integrated to build a performance evaluation system consisting of four dimensions, namely, economic dimension, scientific research and innovation dimension, social dimension, and ecological dimension, from the perspective of sustainable development, and a total of 29 indicators are selected. Then, the two research tools of first value method and fuzzy comprehensive evaluation method were combined, based on the panel data of enterprises from 2016 to 2020; the first value method was used to get the weights of each indicator in the business performance evaluation system. The fuzzy comprehensive evaluation method was used to get a comprehensive evaluation score of enterprise’s business performance in 2019, and then the evaluation results were analyzed in detail and suggestions were made, which confirms that enterprises are based on the sustainable development perspective. The evaluation of business performance is necessary and important. Finally, we propose supporting safeguards, such as establishing a performance evaluation team and a monitoring mechanism, dynamically improving the enterprise performance evaluation system, establishing a sustainable corporate culture, preparing and publishing a sustainable development report, and accelerating the information construction of performance evaluation.

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“…rough the search of well-known websites, such as Dangdang.com and Joyo.com, it was found that domestic scholars have published a series of books related to smart tourism and smart city research, which enriched the theoretical research on smart tourism [8]. By studying the role of digital information technology in the distribution of urban tourism industry, researchers create an urban information system supported by digital technology to support urban development, and they also create a systematic, scientific, and comprehensive decision-making basis for government tourism decision-making departments [9].…”

Section: Related Workmentioning

confidence: 99%

Construction of a Virtual Reality Model of Smart Tourism Scenic Spot Based on Cloud Computing

2022

Mathematical Problems in Engineering

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This paper studies the technology and cloud platform of “cloud computing” in detail. Technically, this paper studies Map-Reduce, HDFS, and BigTable in cloud platform technology. Using the theoretical thinking of comprehensive advantages, the design ideas and principles of the smart tourism service model based on the network platform are proposed, and the overall architecture of the smart tourism service model based on the network platform is constructed according to the three dimensions of the tourist demand level, network platform development stage, and service resource aggregation and integration. The virtual network interaction platform is realized through Unity3D combined with Web3D technology, and the system interaction function is realized according to the communication principle of the front and back of the web page, including the fast switching of scenic spots, the selection of roaming methods, and the realization of navigation maps. In the user evaluation stage, usability and user satisfaction of the system were effectively measured by the SUS system usability scale and the heuristic experiment combined with Likert scale. The virtual reality system of smart tourist attractions based on somatosensory interaction integrates immersion, interactivity, gameplay, education, and dissemination. It can break the time and space barriers for the creation and experience of smart tourist attractions, improve the extremely cold experience environment of smart tourist attractions, increase the display and publicity dimensions of smart tourist attractions, change the situation of one-way passive reception of traditional smart tourist attractions, and improve the interaction and interaction of tourists. It also provides new teaching and design methods for creators of smart tourism scenic spots, which is conducive to the promotion of teaching in smart tourism scenic spots. It enhances the importance of ice and snow culture in the ice and snow industry, changes the traditional business model of ice and snow scenic spots, and uses modern technology to make up for the cultural development defects of smart tourism scenic spots. The digital sustainable development construction of smart tourism scenic spots provides new ideas.

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A Survey of Data Mining Implementation in Smart City Applications

Cited by 52 publications

References 51 publications

Predictive Data Mining in Clinical Medicine: Current Issues and Guidelines

Predictive Data Mining in Clinical Medicine: Current Issues and Guidelines

Research on the Mechanism of the Sustainable Development Model of Enterprises Based on Big Data Analysis Model

Construction of a Virtual Reality Model of Smart Tourism Scenic Spot Based on Cloud Computing

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