THE LOCATION OF THE PASSENGER TRAINS STATIONS FOR STOPPING IN BIG CITIES AND URBAN AGGLOMERATIONS by G. Sviridchuk

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Health Promotion Effects of Sports Training Based on HMM Theory and Big Data by Haiyan Song, Yao Ma, Hongwei Chen

“…In order to better analyze human health status and guide people to carry out reasonable physical training, this paper puts forward the construction method of human health status evaluation model after sports training based on big data. …”
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Application of the Big Data Analysis Model in Higher Education Talent Training Quality Evaluation by Lijun Li, Wentao Wang, Fei Bian

“…Therefore, it is of great practical significance to establish a visual evaluation system of personnel training quality in the field of higher education. …”
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Retracted: Design of Sports Training Improvement and Evaluation Method under the Background of Big Data by Advances in Multimedia

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RAMS Analysis of Train Air Braking System Based on GO-Bayes Method and Big Data Platform by Guoqiang Cai, Yaofei Wang, Qiong Song, Chen Yang

“…An automatic train air braking system is taken as an example to verify the usefulness and accuracy of the proposed method. …”
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Robustness of Big Language Modeling in Finance by Yao Mohan

“…Future research should be specific in the financial domain for further adversarial training and robustness optimization of big language models in the financial domain.…”
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Retracted: Feasibility Study on the Integration of Innovation and Entrepreneurship Education and Occupational Therapy Training Mode for College Students Based on Big Data by Occupational Therapy International

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Mining Conditional Functional Dependency Rules on Big Data by Mingda Li, Hongzhi Wang, Jianzhong Li

“…To handle the volume issue of big data, we develop the sampling algorithms to obtain a small representative training set. …”
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DeepEye: An Automatic Big Data Visualization Framework by Xuedi Qin, Yuyu Luo, Nan Tang, Guoliang Li

“…This system solves the first challenge by training a binary classifier to decide whether a particular visualization is good for a given dataset, and by using a supervised learning to rank model to rank the above good visualizations. …”
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Application of Big Data Analysis in Cost Control of Marine Fishery Breeding by Yunsong Gu

“…In order to improve the stability of the cost control of marine fishery culture, a method of controlling the cost of marine fishery culture based on big data analysis algorithm was proposed. We establish the cost analysis model of marine fishery, use the big data correlation analysis method to conduct distributed mining on the cost characteristics of marine fishery, deeply grasp the relevance of data characteristics, use the information fusion method to build the constraint parameter analysis model of aquaculture cost operation, limit the amount of calculation, and use the adaptive neural network weighted training method to adaptively optimize the cost control to avoid falling into local optimization. …”
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Design and Implementation of Attention-Based CR System in the Context of Big Data by Zheyi Wang, Yanli Kuang, Xin Lyu

“…Therefore, an improved deep factor decomposition machine algorithm combining adaptive regularization and attention mechanisms is proposed, and big data components are integrated to enable the algorithm to support more data input types. …”
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Applying Big Data Based Deep Learning System to Intrusion Detection by Wei Zhong, Ning Yu, Chunyu Ai

“…This strategy can increase the detection rate of intrusive attacks as compared to the previous single learning model approaches. Based on parallel training strategy and big data techniques, the model construction time of BDHDLS is reduced substantially when multiple machines are deployed.…”
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Data Analysis Method of Intelligent Analysis Platform for Big Data of Film and Television by Youwen Ma, Yi Wan

“…Based on cloud computing and statistics theory, this paper proposes a reasonable analysis method for big data of film and television. The method selects Hadoop open source cloud platform as the basis, combines the MapReduce distributed programming model and HDFS distributed file storage system and other key cloud computing technologies. …”
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A Methodology of Real-Time Data Fusion for Localized Big Data Analytics by Sohail Jabbar, Kaleem R. Malik, Mudassar Ahmad, Omar Aldabbas, Muhammad Asif, Shehzad Khalid, Kijun Han, Syed Hassan Ahmed

“…These approaches bring the issues especially concerning network capacity, specialized tools and applications not capable of being trained in a short period. Furthermore, raw data generated through IoT forming big data comes with the capability of producing highly unstructured and heterogeneous form of data. …”
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Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data by Yangfan Tong, Wei Sun

“…This article focuses on the multidimensional construction of the multimedia network public opinion supervision mechanism, puts the research on the background of the era of big data, and based on the analysis and definition of the difference between network public opinion and network public opinion, deeply summarizes the network public opinion in the era of big data. …”
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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

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HSDP: A Hybrid Sampling Method for Imbalanced Big Data Based on Data Partition by Liping Chen, Jiabao Jiang, Yong Zhang

“…The classical classifiers are ineffective in dealing with the problem of imbalanced big dataset classification. Resampling the datasets and balancing samples distribution before training the classifier is one of the most popular approaches to resolve this problem. …”
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Application of Big Data Unbalanced Classification Algorithm in Credit Risk Analysis of Insurance Companies by Xian Wu, Huan Liu

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Evaluation Method of Advanced Mathematics Teaching Reform Effect Based on Big Data Analysis Technology by Yeqin Chen

“…In order to promote the teaching reform, deepen the professional construction, innovate the talent training mode and course teaching mode, improve teachers’ advanced vocational education teaching design ability and teaching level, and promote the connotation construction of higher vocational colleges, an evaluation method of higher mathematics teaching reform effect based on big data analysis technology is proposed. …”
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LSVT LOUD and LSVT BIG: Behavioral Treatment Programs for Speech and Body Movement in Parkinson Disease by Cynthia Fox, Georg Ebersbach, Lorraine Ramig, Shimon Sapir

“…The LSVT (Lee Silverman Voice Treatment) Programs for individuals with PD have been developed and researched over the past 20 years beginning with a focus on the speech motor system (LSVT LOUD) and more recently have been extended to address limb motor systems (LSVT BIG). The unique aspects of the LSVT Programs include the combination of (a) an exclusive target on increasing amplitude (loudness in the speech motor system; bigger movements in the limb motor system), (b) a focus on sensory recalibration to help patients recognize that movements with increased amplitude are within normal limits, even if they feel “too loud” or “too big,” and (c) training self-cueing and attention to action to facilitate long-term maintenance of treatment outcomes. …”
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