SDG11-Based Sustainability Assessment of Urban Communities: A Case Study of Changsha by Qin Shuqian, Zhang Nan, Zhu Peijuan, Zhang Yong, Zhang Chen

“…The data used in the indicator system mainly come from objective big data with temporal continuity, which is conducive for conducting longitudinal continuous tracking research and horizontal comparison research with other cities.…”
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Secondary Cancer after Androgen Deprivation Therapy in Prostate Cancer: A Nationwide Study by Jae Heon Kim, Gi Hwan Bae, Jaehun Jung, Tae Il Noh

Joint association of sleep patterns and oxidative balance score with all-cause and cardiovascular mortality among the general population by Chen Chen, Hanzhang Wu, Hanzhang Wu, Hongyu Jin, Zhiping Jiang, Wei Wang, Xiao Tan, Xiao Tan, Wen-Yang Li

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Long time-series and high-frequency ecological evaluation of Henan section of the Yellow River by Jianzhong Guo, Daozhu Xu, Jian Xu, Ruoxin Zhu, Ning Li

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A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections by Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu

“…Additionally, to address the serious issues of imbalanced classes in TCP and large-scale heterogeneous big data, we propose an effective data sampling approach in data preparation to facilitate model training. …”
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SOCIOLOGY OF KNOWLEDGE SECURITY IN THE DIGITAL EDUCATIONAL SPACE by M. Yu. Zakharov, I. E. Starovoytova, A. V. Shishkova

“…Artificial intelligence and machine learning technologies, big data analysis, robotics and virtualization have taken their place in the educational process, and traditional offline teaching methods require revision. …”
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A functional integral approach to magnon mediated plasmon friction by Yang Wang, Ruanjing Zhang, Feiyi Liu

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A Review of Traffic Congestion Prediction Using Artificial Intelligence by Mahmuda Akhtar, Sara Moridpour

“…With the introduction of big data by stationary sensors or probe vehicle data and the development of new AI models in the last few decades, this research area has expanded extensively. …”
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Evaluation of the Development of Fintech-Served Real Economy Based on Fintech Improvement by Mingxiang Zhou, Xiaoyan Zheng

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PCEP application in cloud-network convergence and end to end traffic assurance scheme by Yue WANG, Aijun WANG, Honglei XU

“…With the booming development of new technologies such as cloud computing, big data and the continuous upgrading of communication infrastructure, the major domestic ISPs have proposed the development strategy of building a centralized control and flexible cloud network infrastructure under the trend of intelligent-traction network transformation.As a path calculation protocol widely used in the existing SDN architecture, PCEP protocol was often used to solve the problem of cross-layer and cross-domain path computing under complex network environment.The application of PCEP protocol in cloud-network convergence scenario was discussed and an end-to-end traffic guarantee scheme was introduced based on PCEP protocol which could ensure the connection-oriented network communication and make end-to-end service guarantee in native IP environment.It helps to improve the operators' ability of real-time perception, agile response and intelligent analysis of the network and meets the operation and maintenance management requirements such as global scheduling of communication resources, comprehensive opening of capabilities and flexible architecture.…”
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PCPIR-V:parallel privacy protected algorithms for nearest neighbor query based on Spark by Shi-zhuo DENG, Ji-tao YAO, Bo-tao WANG, Yue-mei CHEN, Ye YUAN, Yan-hui LI, Guo-ren WANG

“…To address the low-efficiency problem for query privacy protection on big data,parallel CPIR-V (PCPIR-V),which had a high level of privacy protection for nearest neighbor query,was presented and implemented based on spark.Two parallel strategies for PCPIR-V,Row strategy and Bit strategy,were proposed.To avoid redundant multiplications,the repeated products were cached based on a clustering technique while computing CPIR on Spark.According to the evaluation results of PCPIR-V on three datasets,the scalablity of PCPIR-V is good until the number of core is larger than 40.The cost of PCPIR-V with the method of caching partial multiplication results is reduced by 20% averagely.…”
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Recognition of Red-Bed Landslides over Eastern Sichuan through Remote Sensing and Field Investigations by Zhao Miao, Panpan Tang, Yong Zhang

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Stochastic algorithm for HDFS data theft detection based on MapReduce by Yuanzhao GAO, Binglong LI, Xingyuan CHEN

“…To address the problems of big data efficient analysis and insider theft detection in the data theft detection of distributed cloud computing storage,taking HDFS (hadoop distributed file system) as a case study,a stochastic algorithm for HDFS data theft detection based on MapReduce was proposed.By analyzing the MAC timestamp features of HDFS generated by folder replication,the replication behavior’s detection and measurement method was established to detect all data theft modes including insider theft.The data set which is suitable for MapReduce task partition and maintains the HDFS hierarchy was designed to achieve efficient analysis of large-volume timestamps.The experimental results show that the missed rate and the number of mislabeled folders could be kept at a low level by adopting segment detection strategy.The algorithm was proved to be efficient and had good scalability under the MapReduce framework.…”
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Application and Legal Governance of Computational Technologies in Credit Investigation: An Interdisciplinary Perspective by Ying Zhang, Zhen Xie, Xiuwei Qu

“…By analyzing the computational technologies and algorithms most commonly used in credit data collection and data storage, data transmission and data access, data analysis and processing, data calculation, result output and effect evaluation, this paper summarizes and proposes a unified general process of modern credit investigation, pointing out that in this general process, low data quality, privacy violation, algorithmic bias are the main challenges in the big data era, and countermeasures like data quality control, privacy protection, and algorithm governance need to be to be taken seriously into account in order to further explore the great potential of the credit investigation under the legal framework.…”
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Flow-network based auto rescale strategy for Flink by Ziyang LI, Jiong YU, Chen BIAN, Yitian ZHANG, Yonglin PU, Yuefei WANG, Liang LU

“…In order to solve the problem that the load of big data stream computing platform is increasing with fluctuation while the cluster was not able to rescale efficiently,the Flow-network based auto rescale strategy for Flink was proposed.Firstly,the flow-network model was set up and the capacity of each edge that was calculated by self-learning algorithm.Secondly,the bottleneck of the cluster was acquired by maximum-flow algorithm and the resource rescheduling plan was drawn up.Finally,the resource rescheduling plan was executed and the stateful data was migrated efficiently by the data migration algorithm based on the strategy of data partitioning by bulk and bucket.The experimental results show that the strategy can effectively provide performance promotion in the application with complex stateful data.It improved the throughput of the cluster and reduced the time overhead of the data migration on the premise of satisfying the latency constrain of the application,which means that the strategy promotes the scalability of the cluster efficiently.…”
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A dynamic timeslot-based multicast bandwidth advance reservation algorithm for enterprise video conferencing systems by Zhiwen LIAO, Ling ZHANG

“…The simulation results show that compared with other algorithms, the algorithm can effectively reserve bandwidth for big data conferences and solve the problem of time overhead bottleneck.…”
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Data-intensive service deployment based on edge computing by Yongmei GAO, Guanjie CHENG

“…The demand is getting higher and higher for data processing due to big data volume, thus, data-intensive service shave emerged. …”
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Network telemetry technology and its application in automatic network operation and maintenance by Dongfeng MAO, Man JIA, Xiaoming HE, Zhihua LIU

“…As a new data acquisition technology, network telemetry has greatly enriched the diversity of data acquisition and expanded the range of traditional OAM data acquisition, whose goal is to realize real-time global network state visibility and traffic visibility.By combining with big data and AI technology, it can reduce human intervention and improve the operation and maintenance level of network automation.Firstly, the problems and challenges faced by the current IP network operation and maintenance were analyzed, and then it was elaborated that the network telemetry technology was the key enabler to realize the automatous network operation and maintenance.On this basis, the application of network telemetry technology in the IP network automatic operation and maintenance was investigated and discussed, and the reference and guidance for the automatic operation and maintenance of large-scale IP network were provided.…”
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Practice and application of distributed data quality management system in power enterprise by Yuanning LI, Sen LIU, Shijun ZHANG, Feng CHEN, Zhiying WANG

“…After researching the system features of data quality，some foreign and domestic cases of big data were analyzed as reference，and a solution based on Hadoop distributed processing framework was given to solve the performance bottleneck of centralized data quality system. …”
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تعلیم علم البیانات بأقسام ومدارس المکتبات والمعلومات بالجامعات الأمریکیة : دراسة تحلیلیة by د. مشیرة أحمد صالح

“…This study aims to identify the concept of data science and big data, as itaims to identify the characteristics of the courses of data science in a sample ofthe departments and schools of libraries and information in American universitiesduring the academic year 2019/2020, using the descriptive analytical approach.The study reached several results, including: 213 special data science coursesare available, representing 13.6% of the total courses available in the library andinformation schools. …”
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