Data Analytics for the Identification of Fake Reviews Using Supervised Learning

Alsubari, Saleh Nagi; Deshmukh, Sachin N.; Alqarni, Ahmed Abdullah; Alsharif, Nizar; Aldhyani, Theyazn H. H.; Alsaade, Fawaz Waselallah; Khalaf, Osamah Ibrahim

doi:10.32604/cmc.2022.019625

Cited by 163 publications

(119 citation statements)

References 26 publications

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“…The Concept and Function of Data Fusion. Due to the dense deployment of nodes in wireless multimedia sensor networks, it is very likely that multimedia sensor nodes that are close to each other may collect redundant information [22][23][24]. If the data collected by each node is completely transmitted to the sink node, it will cause a 2…”

Section: Data Fusion Monitoring Methodsmentioning

confidence: 99%

College Physical Education Flipped Classroom Teaching Based on Multimedia Network Data Fusion

Zhao

2022

Wireless Communications and Mobile Computing

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In the Internet age, the challenge to traditional physical education classroom teaching has also reached its peak. Traditional physical education teaching has little effect on students. The proposal of flipped classroom can be said to greatly improve the dilemma of traditional physical education classroom teaching. This article is aimed at studying the exploration of flipped classroom teaching in college physical education. For this reason, this paper proposes a data fusion method based on multimedia network to improve the teaching mode and optimizes the algorithm of similar node clustering based on K -means, to make this algorithm more suitable for the teaching monitoring of flipped classrooms in college physical education. At the same time, experiments and analysis are designed to explore the effects of flipped teaching mode. The experimental results of this paper show that under the new teaching mode, the initiative of college students in physical education classes has increased by 31%, and their interest in learning in physical education classes has increased by 28%. And after applying the new teaching model, the physical fitness of the students has also improved by 14%, and the mastery of physical skills has become more proficient.

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Section: Data Fusion Monitoring Methodsmentioning

confidence: 99%

College Physical Education Flipped Classroom Teaching Based on Multimedia Network Data Fusion

Zhao

2022

Wireless Communications and Mobile Computing

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“…Data mining includes the following steps, as shown in Figure 2 : It obtains data for analysis [ 7 ]. Data mining resources can take many forms, but to create a good model, it must have a high-quality information source.…”

Section: Data Mining Technology and Fitness And Bodybuilding Exercise...mentioning

confidence: 99%

Prevention Methods of Fitness and Bodybuilding Exercise Injury Based on Data Mining

Jun

2022

Computational and Mathematical Methods in Medicine

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Fitness and bodybuilding are becoming the trend of the development of sports projects today, not only to bring health to the exercisers, but also to keep the body in good condition. However, due to the wrong attitudes and methods of exercisers, they often have negative effects on exercisers, such as sprains, strains, and tendon strains. This article is based on data mining technology to realize the research of exercise injury prevention methods, so firstly, it introduces the steps and applications of data mining technology and highlights the cluster analysis method in data mining technology. Then it discusses the injury factors of fitness and bodybuilding and outlines the best measures to prevent exercise injury. At the same time, the C4.5 algorithm was introduced to realize the processing of the data set, and the effectiveness of preventive measures was proved by investigating the damage of fitness and bodybuilding exercises in 15 clubs in a certain city. The results of the study show that the number of people who exercise more than 3 times a week accounts for 65.6% of the total number of people, which shows that exercisers in a city’s fitness club exercise more frequently each week.

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“…Analysis of Figure 9 shows that with the increase of the number of errors in the long-distance running technique, the action correction time of the three methods is also getting longer and longer. e correction takes 16 seconds, whereas the approach in reference [26,27] takes 22 seconds to correct the improper actions of the long-distance running technique, and the method in this work takes 7 seconds to repair the wrong actions of the long-distance running technique. It can be seen that the long-distance running technical action correction of the method in this paper takes 7 s. Shorter time can achieve the most long-distance running technical action correction in the shortest time, and the correction efficiency is better.…”

Section: Analysis Of Experimental Resultsmentioning

confidence: 99%

Convolutional Neural Network and Computer Vision-Based Action Correction Method for Long-Distance Running Technology

Wang

2022

Security and Communication Networks

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For long-distance running tactics, a computer vision-based motion correction solution is presented. The depth information is merged into the KCF algorithm to enhance it, which overcomes the classic KCF method’s incapacity to tackle the tracking drift issue caused by occlusion and extracts the technical features of long-distance running motions. Based on computer vision, the posture area of long-distance runners is detected, and the technical movements of long-distance runners are recognized. Calculate the centroid coordinates of the wrong technical movement correction area in long-distance running, and generate a tracking image of the wrong technical movement in long-distance running. The foreground and background information of the image is separated by the optical flow feature of machine vision, and the motion trajectory of the long-distance running error technique is extracted, and the motion correction of the long-distance running technique based on computer vision is realized. The experimental results show that the method in this paper has better accuracy in extracting long-distance running motion features and can accurately identify and correct the technical movements of the long-distance running, the technical movements of the head, and the technical movements of the body balance, and the correction efficiency is high.

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Data Analytics for the Identification of Fake Reviews Using Supervised Learning

Cited by 163 publications

References 26 publications

College Physical Education Flipped Classroom Teaching Based on Multimedia Network Data Fusion

College Physical Education Flipped Classroom Teaching Based on Multimedia Network Data Fusion

Prevention Methods of Fitness and Bodybuilding Exercise Injury Based on Data Mining

Convolutional Neural Network and Computer Vision-Based Action Correction Method for Long-Distance Running Technology

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