WO2018224055A3 - 多维数据异常检测方法及装置 - Google Patents

多维数据异常检测方法及装置 Download PDF

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Publication number
WO2018224055A3
WO2018224055A3 PCT/CN2018/098540 CN2018098540W WO2018224055A3 WO 2018224055 A3 WO2018224055 A3 WO 2018224055A3 CN 2018098540 W CN2018098540 W CN 2018098540W WO 2018224055 A3 WO2018224055 A3 WO 2018224055A3
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Prior art keywords
data
dimensional data
detection method
dimensional
abnormality detection
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PCT/CN2018/098540
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English (en)
French (fr)
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WO2018224055A2 (zh
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梅国锋
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中兴通讯股份有限公司
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Publication of WO2018224055A2 publication Critical patent/WO2018224055A2/zh
Publication of WO2018224055A3 publication Critical patent/WO2018224055A3/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3447—Performance evaluation by modeling

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Computer Hardware Design (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

一种多维数据异常检测方法及装置。所述多维数据异常检测方法包括以下步骤：将待检测多维数据输入经训练的数据重构模型（S101）；利用所述经训练的数据重构模型，对所述待检测多维数据进行数据重构，得到多维重构数据（S102）；以及根据所述多维重构数据，确定所述待检测多维数据是否异常（S103）。
PCT/CN2018/098540 2017-06-05 2018-08-03 多维数据异常检测方法及装置 WO2018224055A2 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710411852.3A CN108287782A (zh) 2017-06-05 2017-06-05 一种多维数据异常检测方法及装置
CN201710411852.3 2017-06-05

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WO2018224055A2 WO2018224055A2 (zh) 2018-12-13
WO2018224055A3 true WO2018224055A3 (zh) 2019-01-24

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CN (1) CN108287782A (zh)
WO (1) WO2018224055A2 (zh)

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CN108287782A (zh) * 2017-06-05 2018-07-17 中兴通讯股份有限公司 一种多维数据异常检测方法及装置
CN109145595A (zh) * 2018-07-31 2019-01-04 顺丰科技有限公司 一种用户异常行为检测系统、方法、设备及存储介质
CN110798330A (zh) * 2018-08-01 2020-02-14 中国移动通信集团浙江有限公司 一种电信诈骗库更新处理方法及装置
CN109657947B (zh) * 2018-12-06 2021-03-16 西安交通大学 一种面向企业行业分类的异常检测方法
CN109753372A (zh) * 2018-12-20 2019-05-14 东软集团股份有限公司 多维数据异常检测方法、装置、可读存储介质及电子设备
CN109714340A (zh) * 2018-12-28 2019-05-03 厦门服云信息科技有限公司 一种序列到序列的网络异常请求识别方法以及装置
CN109492193B (zh) * 2018-12-28 2020-11-27 同济大学 基于深度机器学习模型的异常网络数据生成与预测方法
CN110033014A (zh) * 2019-01-08 2019-07-19 阿里巴巴集团控股有限公司 异常数据的检测方法及其系统
CN112203272B (zh) * 2019-07-08 2023-09-08 中国移动通信集团浙江有限公司 Hss用户搬迁的异常诊断方法、装置及计算设备
CN112202625B (zh) * 2019-07-08 2023-08-15 中国移动通信集团浙江有限公司 网元异常诊断方法、装置、计算设备及计算机存储介质
CN112308104A (zh) * 2019-08-02 2021-02-02 杭州海康威视数字技术股份有限公司 异常识别方法、装置及计算机存储介质
CN110503190A (zh) * 2019-08-13 2019-11-26 上海华力集成电路制造有限公司 半导体机台加工过程中多维度过程数据的异常检测方法
CN111104880A (zh) * 2019-12-09 2020-05-05 北京国网富达科技发展有限责任公司 电缆隧道状态数据的处理方法、装置及系统
CN111275288B (zh) * 2019-12-31 2023-12-26 华电国际电力股份有限公司十里泉发电厂 基于XGBoost的多维数据异常检测方法与装置
CN111241688B (zh) * 2020-01-15 2023-08-25 北京百度网讯科技有限公司 复合生产工艺过程监控方法及装置
CN111444233B (zh) * 2020-02-15 2021-08-17 中国环境监测总站 基于复制器神经网络模型发现环境监测异常数据的方法
TWI749586B (zh) * 2020-06-11 2021-12-11 華碩電腦股份有限公司 訊號檢測方法及使用其之電子裝置
CN111767275B (zh) * 2020-06-28 2024-04-19 北京林克富华技术开发有限公司 数据的处理方法及装置、数据处理系统
CN112261018B (zh) * 2020-10-13 2023-01-31 中国光大银行股份有限公司 异常对象的检测方法及装置、存储介质、电子装置
CN112306835B (zh) * 2020-11-02 2024-05-28 平安科技（深圳）有限公司 用户数据监控分析方法、装置、设备及介质
CN112801497B (zh) * 2021-01-26 2024-04-30 上海华力微电子有限公司 一种异常检测方法及装置
CN113657516A (zh) * 2021-08-20 2021-11-16 泰康保险集团股份有限公司 医疗交易数据处理的方法、装置、电子设备和存储介质

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CN108287782A (zh) * 2017-06-05 2018-07-17 中兴通讯股份有限公司 一种多维数据异常检测方法及装置

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CN102821002A (zh) * 2011-06-09 2012-12-12 中国移动通信集团河南有限公司信阳分公司 网络流量异常检测方法和系统
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