JP6812573B2 - サーバ、金融時系列データの処理方法及び記憶媒体 - Google Patents
サーバ、金融時系列データの処理方法及び記憶媒体 Download PDFInfo
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Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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CN201810441414.6 | 2018-05-10 | ||
CN201810441414.6A CN108615096A (zh) | 2018-05-10 | 2018-05-10 | 服务器、金融时序数据的处理方法及存储介质 |
PCT/CN2018/107678 WO2019214143A1 (zh) | 2018-05-10 | 2018-09-26 | 服务器、金融时序数据的处理方法及存储介质 |
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JP2020522774A JP2020522774A (ja) | 2020-07-30 |
JP6812573B2 true JP6812573B2 (ja) | 2021-01-13 |
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JP2019556878A Active JP6812573B2 (ja) | 2018-05-10 | 2018-09-26 | サーバ、金融時系列データの処理方法及び記憶媒体 |
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JP (1) | JP6812573B2 (zh) |
CN (1) | CN108615096A (zh) |
WO (1) | WO2019214143A1 (zh) |
Families Citing this family (17)
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CN109635923A (zh) * | 2018-11-20 | 2019-04-16 | 北京字节跳动网络技术有限公司 | 用于处理数据的方法和装置 |
CN109711665A (zh) * | 2018-11-20 | 2019-05-03 | 深圳壹账通智能科技有限公司 | 一种基于金融风控数据的预测模型构建方法及相关设备 |
CN109886387B (zh) * | 2019-01-07 | 2021-02-26 | 北京大学 | 一种基于门控网络和梯度提升回归的交通时序预测方法 |
CN111798018A (zh) * | 2019-04-09 | 2020-10-20 | Oppo广东移动通信有限公司 | 行为预测方法、装置、存储介质及电子设备 |
CN110163748B (zh) * | 2019-05-28 | 2021-08-17 | 京东数字科技控股有限公司 | 一种流动性期限管理缺失数据回填方法和设备 |
CN110309136B (zh) * | 2019-07-10 | 2020-08-04 | 山东大学 | 一种数据库异常事件缺失数据填充方法及系统 |
CN110688365A (zh) * | 2019-09-18 | 2020-01-14 | 华泰证券股份有限公司 | 金融时间序列的合成方法、装置和存储介质 |
CN110851505B (zh) * | 2019-11-20 | 2023-12-22 | 鹏城实验室 | 一种数据处理框架、方法及系统 |
CN110911011B (zh) * | 2019-11-27 | 2021-10-19 | 医惠科技有限公司 | 一种脓毒血症的预警装置、设备及存储介质 |
CN111260156B (zh) * | 2020-02-18 | 2023-07-28 | 中国农业银行股份有限公司 | 现金流预测模型的构建方法及现金流预测方法及装置 |
CN111694830A (zh) * | 2020-06-12 | 2020-09-22 | 复旦大学 | 基于深度集成学习的缺失数据补全方法 |
CN113486433A (zh) * | 2020-12-31 | 2021-10-08 | 上海东方低碳科技产业股份有限公司 | 用于净零能耗建筑的能耗缺数的计算方法以及填充系统 |
CN113780666B (zh) * | 2021-09-15 | 2024-03-22 | 湖北天天数链技术有限公司 | 一种缺失值的预测方法及装置、可读存储介质 |
CN113763186B (zh) * | 2021-10-22 | 2024-03-15 | 平安科技(深圳)有限公司 | 基于循环神经网络的用户转保预测方法、装置以及设备 |
CN114820199A (zh) * | 2022-03-29 | 2022-07-29 | 深圳先进技术研究院 | 金融衍生品价格的预测方法、预测装置、存储介质和设备 |
CN116823338B (zh) * | 2023-08-28 | 2023-11-17 | 国网山东省电力公司临沂供电公司 | 电力用户经济属性缺失值的推断方法 |
CN117319312B (zh) * | 2023-11-29 | 2024-03-08 | 凯美瑞德(苏州)信息科技股份有限公司 | 一种数据流量控制方法及装置 |
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DE19530646C1 (de) * | 1995-08-21 | 1996-10-17 | Siemens Ag | Lernverfahren für ein rekurrentes neuronales Netz |
JP4206369B2 (ja) * | 2004-07-15 | 2009-01-07 | 日本放送協会 | 時系列データ補完装置、その方法及びそのプログラム |
JP5861619B2 (ja) * | 2012-11-22 | 2016-02-16 | 富士通株式会社 | データ補間装置、データ補間プログラム及びデータ補間方法 |
US11449732B2 (en) * | 2016-09-06 | 2022-09-20 | Nippon Telegraph And Telephone Corporation | Time-series-data feature extraction device, time-series-data feature extraction method and time-series-data feature extraction program |
CN106886846A (zh) * | 2017-04-26 | 2017-06-23 | 中南大学 | 一种基于长短期记忆循环神经网络的银行网点备付金预测方法 |
CN106991506A (zh) * | 2017-05-16 | 2017-07-28 | 深圳先进技术研究院 | 智能终端及其基于lstm的股票趋势预测方法 |
CN107273429B (zh) * | 2017-05-19 | 2018-04-13 | 哈工大大数据产业有限公司 | 一种基于深度学习的缺失值填充方法及系统 |
CN107316108A (zh) * | 2017-06-19 | 2017-11-03 | 华南理工大学 | 一种市民出行公交线路选乘滑动窗口多特征预测方法 |
CN107578124B (zh) * | 2017-08-28 | 2024-05-17 | 国网山东省电力公司电力科学研究院 | 基于多层改进gru神经网络的短期电力负荷预测方法 |
CN107563122B (zh) * | 2017-09-20 | 2020-05-19 | 长沙学院 | 基于交织时间序列局部连接循环神经网络的犯罪预测方法 |
CN107730087A (zh) * | 2017-09-20 | 2018-02-23 | 平安科技(深圳)有限公司 | 预测模型训练方法、数据监控方法、装置、设备及介质 |
CN107577649A (zh) * | 2017-09-26 | 2018-01-12 | 广州供电局有限公司 | 缺失数据的插补处理方法及装置 |
CN107832897A (zh) * | 2017-11-30 | 2018-03-23 | 浙江工业大学 | 一种基于深度学习的股票市场预测方法 |
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- 2018-05-10 CN CN201810441414.6A patent/CN108615096A/zh active Pending
- 2018-09-26 JP JP2019556878A patent/JP6812573B2/ja active Active
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WO2019214143A1 (zh) | 2019-11-14 |
CN108615096A (zh) | 2018-10-02 |
JP2020522774A (ja) | 2020-07-30 |
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