An Approach to Improve Generation of Association Rules in Order to Be Used in Recommenders

Hamidi, H.; Hashemzadeh, Elnaz

doi:10.4018/ijdwm.2017100101

Cited by 6 publications

(4 citation statements)

References 46 publications

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“…To make the data comparable, the raw data have been transformed into comparable series through dimensionless processing. The mean transformation uses the mean method for dimensionless data, as it can visualize the growing and decreasing trend of the data [ 26 ], as Formulas ( 3 ) and ( 4 ): …”

Section: Methodsmentioning

confidence: 99%

Coupling development of sports industry and tourism industry based on internet of things

Hu,

Wang,

et al. 2024

PLoS ONE

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This study investigates the positive coupling between the sports industry and tourism, exploring the ways to promote their interconnection. Under state guidance, the integration of sports industry services is facilitated to attract sports culture and tourism fairs, leveraging regional economic development advantages to enhance the industrial market appeal. The emerging leisure consumption mode of sports tourism injects vitality into the economy, fostering the core sports service industry. The coupling of the education and tourism sectors is strategically aligned with long-term national policies. Using IoT technology, this paper employs a grey relational analysis to assess the coupling between the sports industry and tourism, revealing a significant correlation. Experimental results demonstrate a positive coupling trend, likened to conjoined twins with a natural material basis and technical support. This coupling not only aligns with industry trends but also resonates with the "environmental protection era," "green era," and "ecological era," marking a pivotal aspect of industrial development. The study contributes valuable insights into the symbiotic relationship between the sports and tourism industries, emphasizing their interconnectedness and the positive implications for economic and environmental sustainability.

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Section: Methodsmentioning

confidence: 99%

Coupling development of sports industry and tourism industry based on internet of things

Hu,

Wang,

et al. 2024

PLoS ONE

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“…A rehabilitation system using short-range radio communication technologies is based on the radio frequency and WiFi detection system [21][22][23][24], global positioning system (GPS) based on positioning technology, Unique identifier (UID)-based technology (UID) and architectural technology based on service-oriented architecture (SoA) [25]. SoA is recognised as the basis for the design, implementation, call, and management of health services.…”

Section: Iot-based Rehabilitation Systemmentioning

confidence: 99%

“…New people who have not yet been examined will be treated in 21 hospitals and 18 rehabilitation centres. In addition, information of doctors and medical staff and equipment such as CPM devices and electronic simulators and high frequency treatment devices, and electromyography and exoskeleton robots are also available [23]. In the preliminary tests, valid information about the hospital, doctors, devices, nurses, cases of disease, geographical location and other relevant information in Shanghai were recorded in the database on the network.…”

Section: Test Protocolsmentioning

confidence: 99%

Using Internet of Things and biosensors technology for health applications

Hamidi

Fazeli

2018

IET wirel. sens. syst.

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The growing trend of ageing has created many challenges. One of these challenges is the rehabilitation of individuals who take time, resources and manpower. The motivation for this study is to propose an ontology-based automatic design methodology for use in intelligent rehabilitation systems in the Internet of things (IoTs). For interconnection, all health system resources in a network use IoT technology. In order to provide fast and effective rehabilitation for different patients, IoT is combined with ontology. The experimental results obtained from rehabilitation of the lower limbs show that the IoT-based rehabilitation system works properly and an ontology-based approach can help create an effective rehabilitation strategy, configure and quickly deploy all available resources with the requirements given. In this study, three types of biosensors have been selected. These biosensors are used for blood, saliva and breathing tests. The expansion of the growth and maturity of technology based on the Fisher-Pry model is based on patent and bibliometrics analysis. The analysis of intellectual property rights according to their number indicates that blood vital sensors reached their turning point in 2009, but the vital sensors of saliva and respiration will reach their turning point and maturity with a delay of 8-14 years.

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“…How to make the best use of the data and uncover the latent useful information is the problem that needs to be solved. By applying improved association rules, the running time of the recommender system is reduced and better quality rules are obtained [1]. The efficiency of tyre quality data analysis is improved by mining and analyzing abnormal data through improved Frequent-Pattern growth (FP-growth) algorithm [2].…”

Section: Introductionmentioning

confidence: 99%

The Evaluation of Ethnic Costume Courses based on FP-growth Algorithm

2024

SCPE

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In order to make full use of the accumulated curriculum data of Folk costume and dig out useful information from it, so as to provide useful information for curriculum teaching, the article proposes three general functions based on the requirement analysis, and pre-processes the completed grade data of ethnic costume students in 4 academic years, analyzes these data by FP-growth algorithm to understand the situation of association rules between different courses, and through K-means++ algorithm The clustering analysis of students with different levels of achievement is carried out and the results are validated by examples. In the algorithm performance analysis, the performance of FP-growth algorithm is better, the average absolute error of FP-growth algorithm is always smaller than that of Apriori algorithm; When the support degree is 20%, the running time of FP-growth algorithm is 0.4s, which is 0.4s less than that of Apriori algorithm. when the number of calculation nodes is 5, the running time of FP-growth algorithm and the accuracy of the K-means++ algorithm were higher than that of the K-means algorithm. In the Iris dataset, the accuracy of the K-means++ algorithm was 91.05%, which was 8.94% higher than that of the K-means algorithm. When mining the course grade data, the confidence level of the obtained association rules was even higher, even up to 97.15%. The standardized test score for the second group of students was 0.960. The course evaluation method used in the article was more objective and the accuracy of the data analysis was higher, providing valuable reference information for teachers' teaching.

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An Approach to Improve Generation of Association Rules in Order to Be Used in Recommenders

Cited by 6 publications

References 46 publications

Coupling development of sports industry and tourism industry based on internet of things

Coupling development of sports industry and tourism industry based on internet of things

Using Internet of Things and biosensors technology for health applications

The Evaluation of Ethnic Costume Courses based on FP-growth Algorithm

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