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Ayodeji O. J Ibitoye^1,*, Olufade F. W Onifade²
Journal on Big Data, Vol.4, No.2, pp. 87-95, 2022, DOI:10.32604/jbd.2022.024533 - 31 October 2022
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… More >

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Reem Almutiri^*, Sarah Alhabeeb, Sarah Alhumud, Rehan Ullah Khan
Journal on Big Data, Vol.4, No.2, pp. 97-111, 2022, DOI:10.32604/jbd.2022.028363 - 31 October 2022
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 More >

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Meiyu Pang^*, Cheng Liu
Journal on Big Data, Vol.4, No.2, pp. 113-123, 2022, DOI:10.32604/jbd.2022.028791 - 31 October 2022
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% More >

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Yuchen Li¹, Junyan Zhu¹, Yaxian Feng^1,*, Xingrui Yang², Yu Zhou¹
Journal on Big Data, Vol.4, No.2, pp. 125-133, 2022, DOI:10.32604/jbd.2022.030660 - 31 October 2022
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 More >

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Ziwen Yu¹, Jianjun Zhang^1,*, Wenwu Tan¹, Ziyi Xiong¹, Peilun Li¹, Liangqing Meng², Haijun Lin¹, Guang Sun³, Peng Guo⁴
Journal on Big Data, Vol.4, No.2, pp. 135-143, 2022, DOI:10.32604/jbd.2022.031024 - 31 October 2022
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 More >

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