Construction of Civil Engineering Teaching System Based on Data Mining Algorithm and Big Data Technology

Abstract With the rapid implementation of made in China 2025 plan and the rapid development and application of information technology such as artificial intelligence, big data technology, industrial Internet of things and 5G, information technology has been integrated into every link of the whole life management cycle of mechanical products, such as tool condition detection and mechanical fault diagnosis in machining process. Based on this, the purpose of this study is to study the application of big data technology in mechanical intelligent fault diagnosis. In the process of this study, the decision number algorithm and data mining algorithm are used to study the experiment, and some mechanical faults in the past are analyzed and studied. Summary of the experimental results show that the use of decision number algorithm and data mining algorithm in the experiment has achieved good results, through these methods and big data technology, we can quickly diagnose the fault of mechanical equipment, accurately locate the fault location of mechanical equipment. Mechanical intelligent fault diagnosis based on big data technology can improve the efficiency of fault diagnosis, reduce enterprise costs and improve economic performance.

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Multimedia Computer-Aided Industrial System Design Based on the Study of Big Data Mining Algorithm

Advances in Multimedia ◽

10.1155/2021/8489662 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Zhihao Zeng

Keyword(s):

Data Mining ◽

Big Data ◽

System Design ◽

Data Mining Algorithm ◽

Industrial System ◽

Overall Design ◽

Big Data Mining ◽

Mining Algorithm ◽

Computer Aided ◽

The Impact

Aiming at the problems of the multimedia computer-aided industrial system, this paper puts forward the application of big data mining algorithm to multimedia computer-aided industrial system design and analyzes in detail the impact of multimedia technology on industrial quality. This paper introduces the advantages of using big data mining algorithm in multimedia computer technology course, shows the operating environment to be met by using the multimedia computer-aided industrial system, follows the guiding principles of the overall design learning theory and artistic conception cognition theory, supplements specific industrial examples, and discusses multimedia industrial design.

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Malicious Intrusion Data Mining Algorithm of Wireless Personal Communication Network Supported by Legal Big Data

Wireless Communications and Mobile Computing ◽

10.1155/2021/8321636 ◽

2021 ◽

Vol 2021 ◽

pp. 1-7

Author(s):

Kai Ji

Keyword(s):

Data Mining ◽

Communication Network ◽

Big Data ◽

Clustering Algorithm ◽

Personal Information ◽

Personal Communication ◽

Communication Process ◽

Data Mining Algorithm ◽

Mining Algorithm ◽

Wireless Personal Communication

Wireless personal communication network is easily affected by intrusion data in the communication process, resulting in the inability to ensure the security of personal information in wireless communication. Therefore, this paper proposes a malicious intrusion data mining algorithm based on legitimate big data in wireless personal communication networks. The clustering algorithm is used to iteratively obtain the central point of malicious intrusion data and determine its expected membership. The noise in malicious intrusion data is denoised by objective function, and the membership degree of communication data is calculated. The change factor of the neighborhood center of gravity of malicious intrusion data in wireless personal communication network is determined, the similarity between the characteristics of malicious intrusion data by using the Markov distance was determined, and the malicious intrusion data mining of wireless personal communication network supported by legal big data was completed. The experimental results show that the accuracy of mining malicious data is high and the mining time is short.

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Information Automatic Sharing Model Based on Big Data Mining Algorithm

Journal of Physics Conference Series ◽

10.1088/1742-6596/1982/1/012137 ◽

2021 ◽

Vol 1982 (1) ◽

pp. 012137

Author(s):

Long Xiaqiu

Keyword(s):

Data Mining ◽

Big Data ◽

Data Mining Algorithm ◽

Big Data Mining ◽

Model Based ◽

Mining Algorithm

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Research on the big data mining algorithm based on modified neural network and structure optimized genetic algorithm

2016 International Conference on Communication and Electronics Systems (ICCES) ◽

10.1109/cesys.2016.7889911 ◽

2016 ◽

Cited By ~ 1

Author(s):

Yi Liang ◽

Xiangyun Cai ◽

Zilun Xiong

Keyword(s):

Neural Network ◽

Data Mining ◽

Genetic Algorithm ◽

Big Data ◽

Data Mining Algorithm ◽

Big Data Mining ◽

Mining Algorithm

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Data Mining Algorithm for Physical Health Monitoring of Young Students Based on Big Data

Journal of Healthcare Engineering ◽

10.1155/2021/9962906 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Jiangang Sun ◽

Xiaoran Jiang ◽

Guoliang Yuan ◽

Zhenhuai Chen

Keyword(s):

Data Mining ◽

Big Data ◽

Physical Health ◽

Data Management System ◽

Practical Significance ◽

Data Mining Algorithm ◽

Physical Test ◽

Healthy Development ◽

Data Mining Algorithms ◽

Mining Algorithm

With the continuous improvement of living standards, the level of physical development of adolescents has improved significantly. The physical functions and healthy development of adolescents are relatively slow and even appear to decline. This paper proposes a novel data mining algorithm based on big data for monitoring of adolescent student’s physical health to overcome this problem and enhance young people’s physical fitness and mental health. Since big data technology has positive practical significance in promoting young people’s healthy development and promoting individual health rights, this article will implement commonly used data mining algorithms and Hadoop/Spark big data processing. The algorithm on different platforms verified that the big data platform has good computing performance for the data mining algorithm by comparing the running time. The current work will prove to be a complete physical health data management system and effectively save, process, and analyze adolescents’ physical test data.

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Model of Cloud-Based Services for Data Mining Analysis

Computer and Information Science ◽

10.5539/cis.v8n4p40 ◽

2015 ◽

Vol 8 (4) ◽

pp. 40

Author(s):

Aleksandar Karadimce

Keyword(s):

Data Mining ◽

Big Data ◽

Data Storage ◽

Data Mining Algorithm ◽

Analysis Model ◽

Data Mining Algorithms ◽

Mining Algorithm ◽

Major Benefit ◽

Efficient Execution ◽

Data Mining Analysis

New cloud-based services are being developed constantly in order to meet the need for faster, reliable and scalable methods for knowledge discovery. The major benefit of the cloud-based services is the efficient execution of heavy computation algorithms in the cloud simply by using Big Data storage and processing platforms. Therefore, we have proposed a model that provides data mining techniques as cloud-based services that are available to users on their demand. The widely known data mining algorithms have been implemented as Map/Reduce jobs that are been executed as services in cloud architecture. The user simply chooses or uploads the dataset to the cloud, makes appropriate settings for the data mining algorithm, executes the job request to be processed and receives the results. The major benefit of this model of cloud-based services is the efficient execution of heavy computation data mining algorithm in the cloud simply by using the Ankus - Open Source Big Data Mining Tool and StarfishHadoop Log Analyzer. The expected outcome of this research is to offer the integration of the cloud-based services for data mining analysis in order to provide researchers with reliable collaborative data mining analysis model.

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