Home / Journals / JBD / Vol.1, No.1, 2019
  • Open Access

    ARTICLE

    Multi-Layer Graph Generative Model Using AutoEncoder for Recommendation Systems

    Syed Falahuddin Quadri1, Xiaoyu Li1,*, Desheng Zheng2, Muhammad Umar Aftab1, Yiming Huang3
    Journal on Big Data, Vol.1, No.1, pp. 1-7, 2019, DOI:10.32604/jbd.2019.05899
    Abstract Given the glut of information on the web, it is crucially important to have a system, which will parse the information appropriately and recommend users with relevant information, this class of systems is known as Recommendation Systems (RS)-it is one of the most extensively used systems on the web today. Recently, Deep Learning (DL) models are being used to generate recommendations, as it has shown state-of-the-art (SoTA) results in the field of Speech Recognition and Computer Vision in the last decade. However, the RS is a much harder problem, as the central variable in the recommendation system’s environment is the… More >

  • Open Access

    ARTICLE

    Network Electronic Record Management Based on Linked Data

    Jian Qi1, Yongjun Ren1,2,*, Qirun Wang3
    Journal on Big Data, Vol.1, No.1, pp. 9-15, 2019, DOI:10.32604/jbd.2019.06290
    Abstract With the rapid development of e-government, e-commerce and self-media, a large number of electronic network records have been generated on the Internet. How to archive these resources has become a focus of attention in academic circles. Based on the theory of linked data, this paper analyzes the archiving of electronic records, and proposes that the corresponding network electronic records should be collected using the theory of linked data. After the resource description framework and corresponding international standards are utilized to convert the network resources, the electronic network records are stored in common databases to solve the problem of network record… More >

  • Open Access

    ARTICLE

    SERVQUAL Model Based Evaluation Analysis of Railway Passenger Transport Service Quality in China

    Huiwei Niu1, Jiao Yao1,*, Jing Zhao2, Jin Wang3,4
    Journal on Big Data, Vol.1, No.1, pp. 17-24, 2019, DOI:10.32604/jbd.2019.05799
    Abstract Railway is the backbone of Chinese transportation system, but its poor quality of services for passengers cause complains now and then. This study first analyzed the influencing factors of service quality on railway passenger, and its quality characteristics was also explained, and finally we proposed an evaluation system of service quality on railway passenger transport. Through the statistical analysis and processing of the basic information from survey data from railway station, trains and the official website of the ticket purchase, the evaluation score of question naire was converted into the score in evaluation index system, which was based on SERVQUAL… More >

  • Open Access

    ARTICLE

    Brief Talk About Big Data Graph Analysis and Visualization

    Guang Sun1,2, Fenghua Li1,*, Wangdong Jiang1
    Journal on Big Data, Vol.1, No.1, pp. 25-38, 2019, DOI:10.32604/jbd.2019.05800
    Abstract Graphical methods are used for construction. Data analysis and visualization are an important area of applications of big data. At the same time, visual analysis is also an important method for big data analysis. Data visualization refers to data that is presented in a visual form, such as a chart or map, to help people understand the meaning of the data. Data visualization helps people extract meaning from data quickly and easily. Visualization can be used to fully demonstrate the patterns, trends, and dependencies of your data, which can be found in other displays. Big data visualization analysis combines the… More >

  • Open Access

    ARTICLE

    Code-Based Preservation Mechanism of Electronic Record in Electronic Record Center of Cloud Storage

    Yan Leng1,2, Yongjun Ren1,2,*, Chengshan Qian3, Jinyue Xia4
    Journal on Big Data, Vol.1, No.1, pp. 39-45, 2019, DOI:10.32604/jbd.2019.05870
    Abstract With the rapid development of E-commerce and E-government, there are so many electronic records have been produced. The increasing number of electronic records brings about storage difficulties, the traditional electronic records center is difficult to cope with the current fast growth requirements of electronic records storage and management. Therefore, it is imperative to use cloud storage technology to build electronic record centers. However, electronic records also have weaknesses in the cloud storage environment, and one of them is that once electronic record owners or managers lose physical control of them, the electronic records are more likely to be tampered with… More >

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