JP6312630B2 - 時系列データ内の異常を検出する方法 - Google Patents

時系列データ内の異常を検出する方法 Download PDF

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JP6312630B2
JP6312630B2 JP2015098030A JP2015098030A JP6312630B2 JP 6312630 B2 JP6312630 B2 JP 6312630B2 JP 2015098030 A JP2015098030 A JP 2015098030A JP 2015098030 A JP2015098030 A JP 2015098030A JP 6312630 B2 JP6312630 B2 JP 6312630B2
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JP2015230727A (ja
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マイケル・ジェイ・ジョーンズ
ダニエル・ニコラエフ・ニコヴスキ
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JP2015098030A 2014-06-05 2015-05-13 時系列データ内の異常を検出する方法 Active JP6312630B2 (ja)

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US14/296,809 US9779361B2 (en) 2014-06-05 2014-06-05 Method for learning exemplars for anomaly detection

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Families Citing this family (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150277416A1 (en) * 2014-03-31 2015-10-01 Mitsubishi Electric Research Laboratories, Inc. Method for Anomaly Detection in Discrete Manufacturing Processes
US10373070B2 (en) * 2015-10-14 2019-08-06 International Business Machines Corporation Anomaly detection model selection and validity for time series data
US10885461B2 (en) 2016-02-29 2021-01-05 Oracle International Corporation Unsupervised method for classifying seasonal patterns
US10867421B2 (en) 2016-02-29 2020-12-15 Oracle International Corporation Seasonal aware method for forecasting and capacity planning
US10699211B2 (en) 2016-02-29 2020-06-30 Oracle International Corporation Supervised method for classifying seasonal patterns
US10331802B2 (en) 2016-02-29 2019-06-25 Oracle International Corporation System for detecting and characterizing seasons
US10198339B2 (en) 2016-05-16 2019-02-05 Oracle International Corporation Correlation-based analytic for time-series data
US10635563B2 (en) 2016-08-04 2020-04-28 Oracle International Corporation Unsupervised method for baselining and anomaly detection in time-series data for enterprise systems
US11082439B2 (en) 2016-08-04 2021-08-03 Oracle International Corporation Unsupervised method for baselining and anomaly detection in time-series data for enterprise systems
US11449046B2 (en) * 2016-09-16 2022-09-20 Honeywell Limited Model-plant mismatch detection with support vector machine for cross-directional process behavior monitoring
JP6782679B2 (ja) * 2016-12-06 2020-11-11 パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカPanasonic Intellectual Property Corporation of America 情報処理装置、情報処理方法及びプログラム
US10949436B2 (en) 2017-02-24 2021-03-16 Oracle International Corporation Optimization for scalable analytics using time series models
US10915830B2 (en) 2017-02-24 2021-02-09 Oracle International Corporation Multiscale method for predictive alerting
US10817803B2 (en) 2017-06-02 2020-10-27 Oracle International Corporation Data driven methods and systems for what if analysis
CN107423758A (zh) * 2017-07-15 2017-12-01 西安电子科技大学 从趋势点中提取序列重要点的驾培作弊学时识别方法
US10613960B2 (en) 2017-07-31 2020-04-07 Mitsubishi Electric Corporation Information processing apparatus and information processing method
US11860971B2 (en) 2018-05-24 2024-01-02 International Business Machines Corporation Anomaly detection
US10997517B2 (en) 2018-06-05 2021-05-04 Oracle International Corporation Methods and systems for aggregating distribution approximations
US10963346B2 (en) 2018-06-05 2021-03-30 Oracle International Corporation Scalable methods and systems for approximating statistical distributions
US11494618B2 (en) * 2018-09-04 2022-11-08 Nec Corporation Anomaly detection using deep learning on time series data
US11138090B2 (en) 2018-10-23 2021-10-05 Oracle International Corporation Systems and methods for forecasting time series with variable seasonality
US12001926B2 (en) 2018-10-23 2024-06-04 Oracle International Corporation Systems and methods for detecting long term seasons
US11200607B2 (en) 2019-01-28 2021-12-14 Walmart Apollo, Llc Methods and apparatus for anomaly detections
US10855548B2 (en) 2019-02-15 2020-12-01 Oracle International Corporation Systems and methods for automatically detecting, summarizing, and responding to anomalies
US11533326B2 (en) 2019-05-01 2022-12-20 Oracle International Corporation Systems and methods for multivariate anomaly detection in software monitoring
US11537940B2 (en) 2019-05-13 2022-12-27 Oracle International Corporation Systems and methods for unsupervised anomaly detection using non-parametric tolerance intervals over a sliding window of t-digests
US11887015B2 (en) 2019-09-13 2024-01-30 Oracle International Corporation Automatically-generated labels for time series data and numerical lists to use in analytic and machine learning systems
CN112819491B (zh) * 2019-11-15 2024-02-09 百度在线网络技术(北京)有限公司 一种转化数据处理的方法、装置、电子设备及存储介质
CN111177224B (zh) * 2019-12-30 2022-04-05 浙江大学 一种基于条件式规整化流模型的时间序列无监督异常检测方法
JP2022056630A (ja) * 2020-09-30 2022-04-11 沖電気工業株式会社 データ分析装置、データ分析プログラム、及びデータ分析方法
CN113743607B (zh) * 2021-09-15 2023-12-05 京东科技信息技术有限公司 异常检测模型的训练方法、异常检测方法及装置
CN114547145B (zh) * 2022-02-21 2024-01-26 苏州浪潮智能科技有限公司 一种时序数据异常检测方法、系统、存储介质及设备
US12470593B2 (en) 2022-07-11 2025-11-11 Armis Security Ltd. Malicious lateral movement detection using remote system protocols
US12388855B2 (en) * 2022-09-14 2025-08-12 Armis Security Ltd. Anomaly detection and mitigation using device subpopulation partitioning

Family Cites Families (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7751325B2 (en) * 2003-08-14 2010-07-06 At&T Intellectual Property Ii, L.P. Method and apparatus for sketch-based detection of changes in network traffic
US8108929B2 (en) * 2004-10-19 2012-01-31 Reflex Systems, LLC Method and system for detecting intrusive anomalous use of a software system using multiple detection algorithms
JP4720213B2 (ja) * 2005-02-28 2011-07-13 富士通株式会社 解析支援プログラム、装置及び方法
US8583584B2 (en) * 2009-10-20 2013-11-12 Google Inc. Method and system for using web analytics data for detecting anomalies
JP2011145846A (ja) 2010-01-14 2011-07-28 Hitachi Ltd 異常検知方法、異常検知システム、及び異常検知プログラム
US9833196B2 (en) 2011-03-02 2017-12-05 The Regents Of The University Of California Apparatus, system, and method for detecting activities and anomalies in time series data
CN102831442A (zh) 2011-06-13 2012-12-19 索尼公司 异常行为检测设备和方法及生成该检测设备的设备和方法
US8688620B2 (en) 2011-09-23 2014-04-01 Hewlett-Packard Development Company, L.P. Anomaly detection in data centers
WO2013077861A1 (en) * 2011-11-22 2013-05-30 Electric Power Research Institute, Inc. System and method for anomaly detection
CN102664006B (zh) 2012-04-14 2014-05-14 中国人民解放军国防科学技术大学 基于时频域分析的异常人声检测方法
US9075713B2 (en) * 2012-05-24 2015-07-07 Mitsubishi Electric Research Laboratories, Inc. Method for detecting anomalies in multivariate time series data
JP2013246729A (ja) 2012-05-28 2013-12-09 Nec Corp 類似時系列データ検索システム
KR101512278B1 (ko) * 2012-07-25 2015-04-17 아로, 인코포레이티드 스토리라인을 생성하고, 사용자 루틴 및 개성을 모델링하고, 맞춤형 추천 에이전트를 생성하는 모바일 장치 데이터 사용
US9245235B2 (en) * 2012-10-12 2016-01-26 Nec Laboratories America, Inc. Integrated approach to model time series dynamics in complex physical systems
US20160164721A1 (en) * 2013-03-14 2016-06-09 Google Inc. Anomaly detection in time series data using post-processing
US9146800B2 (en) * 2013-07-01 2015-09-29 Mitsubishi Electric Research Laboratories, Inc. Method for detecting anomalies in a time series data with trajectory and stochastic components
US10103960B2 (en) * 2013-12-27 2018-10-16 Splunk Inc. Spatial and temporal anomaly detection in a multiple server environment
US9652716B2 (en) * 2014-02-20 2017-05-16 Nec Corporation Extracting interpretable features for classification of multivariate time series from physical systems
US9652354B2 (en) * 2014-03-18 2017-05-16 Microsoft Technology Licensing, Llc. Unsupervised anomaly detection for arbitrary time series
US20150333998A1 (en) * 2014-05-15 2015-11-19 Futurewei Technologies, Inc. System and Method for Anomaly Detection

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CN105279365A (zh) 2016-01-27
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JP2015230727A (ja) 2015-12-21
CN105279365B (zh) 2018-01-23

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