CN112215436A - 一种基于机器学习的学业异常预测方法 - Google Patents
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Cited By (2)
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---|---|---|---|---|
CN114493023A (zh) * | 2022-02-07 | 2022-05-13 | 中国水利水电科学研究院 | 一种基于RF-Adaboost模型在异常水情数据中的诊断与插补方法 |
CN114971957A (zh) * | 2022-04-20 | 2022-08-30 | 华北科技学院 | 一种学生学业风险预警帮扶系统及其方法 |
Citations (7)
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CN102112933A (zh) * | 2008-10-09 | 2011-06-29 | 株式会社日立制作所 | 异常检测方法及系统 |
CN109447118A (zh) * | 2018-09-26 | 2019-03-08 | 中南大学 | 一种基于Adaboost和欠采样的不平衡学习方法 |
CN111126812A (zh) * | 2019-12-12 | 2020-05-08 | 科大讯飞股份有限公司 | 综合学习能力监测方法、装置、电子设备和存储介质 |
CN111260514A (zh) * | 2020-01-14 | 2020-06-09 | 华中师范大学 | 一种基于校园大数据的学生成绩预测方法 |
CN111461394A (zh) * | 2020-02-24 | 2020-07-28 | 桂林电子科技大学 | 一种基于深度矩阵分解的学生成绩预测方法 |
CN111669384A (zh) * | 2020-05-29 | 2020-09-15 | 重庆理工大学 | 融合深度神经网络和层级注意力机制的恶意流量检测方法 |
CN111709575A (zh) * | 2020-06-16 | 2020-09-25 | 北京工业大学 | 基于c-lstm的学业成绩预测方法 |
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- 2020-11-03 CN CN202011212454.7A patent/CN112215436B/zh active Active
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CN102112933A (zh) * | 2008-10-09 | 2011-06-29 | 株式会社日立制作所 | 异常检测方法及系统 |
CN109447118A (zh) * | 2018-09-26 | 2019-03-08 | 中南大学 | 一种基于Adaboost和欠采样的不平衡学习方法 |
CN111126812A (zh) * | 2019-12-12 | 2020-05-08 | 科大讯飞股份有限公司 | 综合学习能力监测方法、装置、电子设备和存储介质 |
CN111260514A (zh) * | 2020-01-14 | 2020-06-09 | 华中师范大学 | 一种基于校园大数据的学生成绩预测方法 |
CN111461394A (zh) * | 2020-02-24 | 2020-07-28 | 桂林电子科技大学 | 一种基于深度矩阵分解的学生成绩预测方法 |
CN111669384A (zh) * | 2020-05-29 | 2020-09-15 | 重庆理工大学 | 融合深度神经网络和层级注意力机制的恶意流量检测方法 |
CN111709575A (zh) * | 2020-06-16 | 2020-09-25 | 北京工业大学 | 基于c-lstm的学业成绩预测方法 |
Non-Patent Citations (1)
Title |
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韩泽峰;杨涛;侯琳琳;田强;刘良金;吴偶;: "基于Consume2Vec模型的校园一卡通大数据分析", 计算机应用, no. 1, pages 85 - 91 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114493023A (zh) * | 2022-02-07 | 2022-05-13 | 中国水利水电科学研究院 | 一种基于RF-Adaboost模型在异常水情数据中的诊断与插补方法 |
CN114971957A (zh) * | 2022-04-20 | 2022-08-30 | 华北科技学院 | 一种学生学业风险预警帮扶系统及其方法 |
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