Maintenance Analysis Method Based on Big Data Processing Technology in Power Telecommunication Network by Zhimin Yang, Bin Wu, Ran Shu

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Review on Intelligent Governance of Physical Fitness of College Students under the Background of Big Data by Qing Liu, Zhenzhi Li, Shangli Liu

“…The advent of the era of big data has promoted the reform of sports governance, and intelligent governance is becoming a strategic choice and a new trend to promote the physical fitness development of college students. …”
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Design of Updating Encryption Algorithm for Privacy Big Data Based on Consortium Blockchain Technology by Lei Liu, Xue Liu, Jiahua Wan

“…The existing privacy big data encryption algorithm cannot achieve real-time update of big data and repeat more big data, resulting in low attack resistance and more malicious attack data. …”
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HSDP: A Hybrid Sampling Method for Imbalanced Big Data Based on Data Partition by Liping Chen, Jiabao Jiang, Yong Zhang

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Research and development of thick plate shape prediction system based on industrial big data by Yufei MA, Changxin LIU, Wei KONG, Jinliang DING

“…Thick plate shape is one of the important indicators to measure the quality of thick plate products.The timely prediction of the final plate shape in production is of great significance for adjusting the operation and control of thick plate production.In actual industrial production, thick plate data has many characteristics, such as multiple coupling information, large amount of redundant information, and multi-source heterogeneity of data.Combining the needs of thick plate shape prediction, a thick plate shape prediction system was designed and developed.The data dump function was used to filter and preprocess the industrial big data to remove the coupling information and redundant variables in the data.LSTM neural network, convolutional neural network and 3D convolutional neural network were used to extract data features from data of different dimensions, and the features were fused based on the maximum mutual information coefficient to establish an integrated learning prediction model, which effectively solved the modeling difficulties caused by multi-source heterogeneous data.The actual industrial data of a domestic thick plate production line was used for verification, and the results showed the effectiveness of the developed system.…”
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Research and application of big data platform technology based on multi-centre collaborative computing by RUAN Yilong, XU Xueling, FA Hu, DONG Silun, JIANG Lei, YANG Lei, YAN Yuanyuan

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Statistics release and privacy protection method of location big data based on deep learning by Yan YAN, Yiming CONG, Mahmood Adnan, Quanzheng SHENG

“…Aiming at the problems of the unreasonable structure and the low efficiency of the traditional statistical partition and publishing of location big data, a deep learning-based statistical partition structure prediction method and a differential publishing method were proposed to enhance the efficacy of the partition algorithm and improve the availability of the published location big data.Firstly, the two-dimensional space was intelligently partitioned and merged from the bottom to the top to construct a reasonable partition structure.Subsequently, the partition structure matrices were organized as a three-dimensional spatio-temporal sequence, and the spatio-temporal characteristics were extracted via the deep learning model in a bid to realize the prediction of the partition structure.Finally, the differential privacy budget allocation and Laplace noise addition were implemented on the prediction partition structure to realize the privacy protection of the statistical partition and publishing of location big data.Experimental comparison of the real location big data sets proves the advantages of the proposed method in improving the querying accuracy of the published location big data and the execution efficiency of the publishing algorithm.…”
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Retracted: English Teaching Achievement Prediction by Big Data Analysis under Deep Intervention by Journal of Electrical and Computer Engineering

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Research on Big Data Strategy of Telecom Carriers Based on Information Value Chain Theory by Chengyi Tao, Xiaomei Ma

Subjects: “…big data…”
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Study on a New Method of Link-Based Link Prediction in the Context of Big Data by Chen Jicheng, Chen Hongchang, Li Hanchao

“…This research is aimed at finding the most appropriate link-based link prediction methods in the context of big data based on supervised learning. There is a tone of books written on the same; nonetheless, they are core issues that are not always addressed in these studies, which are critical in understanding the concept of link prediction. …”
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Retracted: Construction and Analysis of School Moral Education System Based on Big Data Technology by Advances in Multimedia

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Intelligent Integration Algorithm of National Traditional Sports Culture Resources Based on Big Data by Xian-Bin Ai

“…Then, the query set of big data is constructed based on the results of weakly associated data mining, and the query of weakly associated data is completed through data repair. …”
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Predictive Analysis of Maritime Congestion Using Dynamic Big Data and Multiscale Feature Analysis by Yalin Wu

“…This study proposes an innovative congestion prediction approach using dynamic big data analysis of vessel trajectories and multiscale feature analysis. …”
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Retracted: Data Analysis Method of Intelligent Analysis Platform for Big Data of Film and Television by null Complexity

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A Big Data Based Analytical Model for Telecom Operator's Energy Usage Optimization by Ai Fang, Duo Jin, Xiong Xu, Bing Liang

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A dimension reduction assisted credit scoring method for big data with categorical features by Tatjana Miljkovic, Pei Wang

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Measuring Destination Image Using AI and Big Data: Kastoria’s Image on TripAdvisor by Anastasia Yannacopoulou, Konstantinos Kallinikos

“…This research introduces a big data-driven approach to analyzing and measuring the perceived and conveyed TDI in OTRs concerning the reflected perceptive, spatial, and affective dimensions of search results. …”
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Research on influence spread of scientific research team based on scientific factor quantification of big data by Wenbin Zhao, Zhixian Yin, Tongrang Fan, Jishuang Luo

“…From the aspect of ability, resource, activity, and familiarity, scientific research factors are quantified based on multi-source data of scientific and technological big data, and some factors of text information are similarly quantified. …”
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Impact of AI and big data analytics on healthcare outcomes: An empirical study in Jordanian healthcare institutions by Rand Al-Dmour, Hani Al-Dmour, Eatedal Basheer Amin, Ahmed Al-Dmour

“…Artificial intelligence (AI) and big data analytics are transforming healthcare globally and in Jordan. …”
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How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping by Jinhong Kim, Gamunnarbi Park, Myoungkyun Woo, Youngjung Geum

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