JBDOpen Access

Journal on Big Data

ISSN:2579-0048(print)
ISSN:2579-0056(online)
Publication Frequency:Quarterly

  • Online
    Articles

    59

  • on board
    editors

    13


About the Journal

Journal on Big Data is launched in a new area when the engineering features of big data are setting off upsurges of explorations in algorithms, raising challenges on big data, and industrial development integration; and novel paradigms in this cross–disciplinary field need to be constructed by translating complex innovative ideas from various fields.

  • Open Access

    ARTICLE

    Social Opinion Network Analytics in Community Based Customer Churn Prediction

    Journal on Big Data, Vol.4, No.2, pp. 87-95, 2022, DOI:10.32604/jbd.2022.024533
    Abstract Community based churn prediction, or the assignment of recognising the influence of a customer’s community in churn prediction has become an important concern for firms in many different industries. While churn prediction until recent times have focused only on transactional dataset (targeted approach), the untargeted approach through product advisement, digital marketing and expressions in customer’s opinion on the social media like Twitter, have not been fully harnessed. Although this data source has become an important influencing factor with lasting impact on churn management. Since Social Network Analysis (SNA) has become a blended approach for churn prediction and management in modern… More >

  • Open Access

    ARTICLE

    A Survey of Machine Learning for Big Data Processing

    Journal on Big Data, Vol.4, No.2, pp. 97-111, 2022, DOI:10.32604/jbd.2022.028363
    Abstract Today’s world is a data-driven one, with data being produced in vast amounts as a result of the rapid growth of technology that permeates every aspect of our lives. New data processing techniques must be developed and refined over time to gain meaningful insights from this vast continuous volume of produced data in various forms. Machine learning technologies provide promising solutions and potential methods for processing large quantities of data and gaining value from it. This study conducts a literature review on the application of machine learning techniques in big data processing. It provides a general overview of machine learning… More >

  • Open Access

    ARTICLE

    Application of Big Data Information Platform in Medical Equipment

    Journal on Big Data, Vol.4, No.2, pp. 113-123, 2022, DOI:10.32604/jbd.2022.028791
    Abstract The application of big data in the medical device industry mainly refers to the analysis and processing of various medical devices, so as to provide patients with better treatment and rehabilitation services. At present, our country already has a relatively mature and reliable large database system. This article studies the application of medical equipment in the big data information platform. The main methods used in this article are survey method, case analysis method, and interview method. The big data information platform and medical devices are studied from different aspects. The survey results show that 41% of people completely agree with… More >

  • Open Access

    ARTICLE

    Study on the Present Situation and Optimization Path of Gamification Design in Chinese University Libraries

    Journal on Big Data, Vol.4, No.2, pp. 125-133, 2022, DOI:10.32604/jbd.2022.030660
    Abstract In this paper, 137 “First-class universities” and “First-class discipline” construction universities in China are selected as the objects of investigation to analyzes the present situation and characteristics of the game design of University Library in China. Taking the university library in other countries as the reference object, this paper compares the differences of the game design of University Library in China and other countries, sums up the deficiency of the gamification service practice in Chinese university libraries. At last, this paper proposes an optimization path of the gamification design of Chinese University Library from six aspects of game type, game… More >

  • Open Access

    ARTICLE

    Design of a Web Crawler for Water Quality Monitoring Data and Data Visualization

    Journal on Big Data, Vol.4, No.2, pp. 135-143, 2022, DOI:10.32604/jbd.2022.031024
    Abstract Many countries are paying more and more attention to the protection of water resources at present, and how to protect water resources has received extensive attention from society. Water quality monitoring is the key work to water resources protection. How to efficiently collect and analyze water quality monitoring data is an important aspect of water resources protection. In this paper, python programming tools and regular expressions were used to design a web crawler for the acquisition of water quality monitoring data from Global Freshwater Quality Database (GEMStat) sites, and the multi-thread parallelism was added to improve the efficiency in the… More >

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