Application of Multisource Big Data Mining Technology in Sports Economic Management Analysis

Li, Qinglan

doi:10.1155/2022/5672428

Cited by 4 publications

(2 citation statements)

References 26 publications

(32 reference statements)

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“…As well, Zhao et al (2022) applied big data mining for evaluating and predicting power marketing. Also, Li (2022) applied big data mining in analyzing sports economic management. Besides, Yue et al (2021) applied big data mining for assessing the financial risk within enterprises.…”

Section: Literature Reviewmentioning

confidence: 99%

Predicting daily precision improvement of Jakarta Islamic Index in Indonesia’s Islamic stock market using big data mining

Ledhem,

Moussaoui

2023

JM2

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Purpose This paper aims to apply several data mining techniques for predicting the daily precision improvement of Jakarta Islamic Index (JKII) prices based on big data of symmetric volatility in Indonesia’s Islamic stock market. Design/methodology/approach This research uses big data mining techniques to predict daily precision improvement of JKII prices by applying the AdaBoost, K-nearest neighbor, random forest and artificial neural networks. This research uses big data with symmetric volatility as inputs in the predicting model, whereas the closing prices of JKII were used as the target outputs of daily precision improvement. For choosing the optimal prediction performance according to the criteria of the lowest prediction errors, this research uses four metrics of mean absolute error, mean squared error, root mean squared error and R-squared. Findings The experimental results determine that the optimal technique for predicting the daily precision improvement of the JKII prices in Indonesia’s Islamic stock market is the AdaBoost technique, which generates the optimal predicting performance with the lowest prediction errors, and provides the optimum knowledge from the big data of symmetric volatility in Indonesia’s Islamic stock market. In addition, the random forest technique is also considered another robust technique in predicting the daily precision improvement of the JKII prices as it delivers closer values to the optimal performance of the AdaBoost technique. Practical implications This research is filling the literature gap of the absence of using big data mining techniques in the prediction process of Islamic stock markets by delivering new operational techniques for predicting the daily stock precision improvement. Also, it helps investors to manage the optimal portfolios and to decrease the risk of trading in global Islamic stock markets based on using big data mining of symmetric volatility. Originality/value This research is a pioneer in using big data mining of symmetric volatility in the prediction of an Islamic stock market index.

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Section: Literature Reviewmentioning

confidence: 99%

Predicting daily precision improvement of Jakarta Islamic Index in Indonesia’s Islamic stock market using big data mining

Ledhem,

Moussaoui

2023

JM2

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“…Multicriteria can be divided into multiattribute decision-making and multiobjective decision-making [31,32]. Generally speaking, there is often a certain similarity between data, which makes it difficult to directly perform effective classification tasks on the attributes of these data [33]. For the decision-making of public sports facilities in international tourist cities, it is equivalent to a multiobjective decisionmaking task.…”

Section: The Introduction To Fuzzy Multicriteriamentioning

confidence: 99%

Allocation and Optimization of Public Sports Facilities Resources in International Tourist Cities Based on Fuzzy Multicriteria Decision-Making Algorithm

Peng

Zhou

2022

Mathematical Problems in Engineering

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With the improvement of the economic level and the continuous improvement of people living standards, international tourism has become a major boom. International tourism can not only improve the local economic income but also improve the construction of local facilities. Not only does the development of a country tourism depend on the local tourism attraction, but also the economic situation of country is more critical for tourism. The arrangement of sports facilities is also key to the popularity of international tourist cities and to increase tourism, because public sports facilities can not only enhance the physical exercise of tourists but also display local characteristics in the form of sports facilities. The decisions on public sports facilities are based on local government policies and other factors such as travelers preferences, which requires reference to the layout of public sports facilities in successful international tourist cities. This research uses fuzzy multicriteria decision-making algorithm and neural network technology to conduct decision-making and prediction research on the relevant factors of public sports resource allocation in international tourist cities. The research results show that the fuzzy multicriteria algorithm has high accuracy for decision-making and prediction of public sports resource setting. The maximum error of multicriteria algorithm and neural network method in predicting the relevant factors of public sports setting is only 2.45%, and this part of the error comes from the needs of tourists. The smallest error is only 1.34%. The fuzzy multicriteria algorithm has an accuracy of more than 95% for decision-making and prediction of public sports facilities, which is beneficial to decision makers of sports settings in international tourist cities.

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Spor Yönetiminde İnsan Kaynakları Yönetimi Fonksiyonlarına Yönelik Kavramsal Eğilimler: Maxqda Ai Assist ile Tematik Analiz

Ahat

2024

The Online Journal of Recreation and Sports

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Araştırmanın amacı spor yönetiminde yaşanan gelişmeleri insan kaynakları yönetimin fonksiyonları olan kariyer planlama, yetenek yönetimi, performans değerlendirme, motivasyon, oryantasyon, eğitim ve geliştirme bağlamında incelenmesi olup, son yıllarda ortaya çıkan kavramsal eğilimlerin analiz edilmesi hedeflenmiştir. Buna uygun olarak sistematik literatür taraması ile tespit edilen araştırmalardaki kavramsal eğilimlerin tematik olarak betimlenerek raporlanmış ve spor yönetimi alanına yönelik güncel ihtiyaçlar anlaşılarak ve öneriler sunulmuştur. Araştırmanın soru cümlesi PICOS yöntemi ile “Spor yönetimi kapsamında gerçekleştirilmiş olan insan kaynakları yönetimi fonksiyonlarına yönelik çalışmalarının kavramsal eğilimleri nelerdir?” şeklinde oluşturulmuştur. Veri tabanlarının taranması için Boolen yöntemi ile operatör işleçler geliştirilmiştir. EBSCOhost ve Proquest veri tabanı aracılığı ile gerçekleştirilen sistematik tarama sonunda 2019-2024 yılları arasında gerçekleştirilmiş tarama kriterleri ile uyumlu 33 kaynağa ulaşılmıştır. Sistematik tarama aşamaları PRISMA yöntemi ile detaylandırılarak raporlanmıştır. Araştırmanın yöntemi temelde nitel içerik analizi olup, araştırmanın amacına ve soru cümlesine uygun olarak tematik içerik analizi deseni benimsenmiştir. Araştırmada kodlama, tematik analiz, veri görselleştirme ve raporlama aracı olarak Maxqda 24 Pro AI Assist kullanılmıştır. Bu sebeple yazar YÖK belgesine dayanarak “ÜYZ Kullanılan Bilimsel Araştırmalarda Etik Standartlara Uyum Beyanı ve Kontrol Listesi” oluşturmuş ve etik beyanda bulunmuştur. Araştırma sonuçlarına göre 2019-2024 yılları arasında spor yönetiminde insan kaynakları yönetimine yönelik olarak gerçekleştirilmiş olan araştırmalarda spor yönetiminde öne çıkan insan kaynakları fonksiyonlarının kurumlarla ilişkiler ve organizasyon, eğitim ve geliştirme, yetenek yönetimi, planlama, seçme ve yerleştirme olduğunu ve bu kapsamda özellikle yetkinlik kavramının öne çıktığını göstermiştir. Yetkinlikler kavramın öne çıkışını spor uzmanlarının yönetimi, liderlik, motivasyon, sporun gelişimi ve performans kavramları takip ederek desteklemektedir.

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Application of Multisource Big Data Mining Technology in Sports Economic Management Analysis

Cited by 4 publications

References 26 publications

Predicting daily precision improvement of Jakarta Islamic Index in Indonesia’s Islamic stock market using big data mining

Predicting daily precision improvement of Jakarta Islamic Index in Indonesia’s Islamic stock market using big data mining

Allocation and Optimization of Public Sports Facilities Resources in International Tourist Cities Based on Fuzzy Multicriteria Decision-Making Algorithm

Spor Yönetiminde İnsan Kaynakları Yönetimi Fonksiyonlarına Yönelik Kavramsal Eğilimler: Maxqda Ai Assist ile Tematik Analiz

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