2020 1st International Conference on Big Data Analytics and Practices (IBDAP)

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引用次数: 1

Abstract

The proceedings contain 22 papers The topics discussed include: research topic modeling: a use case for data analytics on research project data;visual representations of different family structures using an interactive data exploration technique;benefit recommendation system: a use case for pension fund data analytics;BoydCut: bidirectional LSTM-CNN model for Thai sentence segmenter;Sakdas: a python package for data profiling and data quality auditing;digital transformation in business and management research: bibliometric and co-word network analysis;student dropout prediction: a KMUTT case study;and the relations between implementation date of policies and the spreading of COVID-19
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2020首届大数据分析与实践国际会议(IBDAP)
讨论的主题包括:研究主题建模:研究项目数据的数据分析用例;使用交互式数据探索技术的不同家庭结构的可视化表示;福利推荐系统:养老基金数据分析用例;BoydCut:泰国语分词器的双向LSTM-CNN模型;商业和管理研究中的数字化转型:文献计量学和共词网络分析;学生辍学预测:KMUTT案例研究;以及政策实施日期与COVID-19传播之间的关系
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2020 1st International Conference on Big Data Analytics and Practices (IBDAP)
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