IN2013CH03925A - - Google Patents
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- IN2013CH03925A IN2013CH03925A IN3925CH2013A IN2013CH03925A IN 2013CH03925 A IN2013CH03925 A IN 2013CH03925A IN 3925CH2013 A IN3925CH2013 A IN 3925CH2013A IN 2013CH03925 A IN2013CH03925 A IN 2013CH03925A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Pure & Applied Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Algebra (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Probability & Statistics with Applications (AREA)
- Debugging And Monitoring (AREA)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
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IN3925CH2013 IN2013CH03925A (pt) | 2013-09-02 | 2013-09-02 | |
US14/475,423 US10878327B2 (en) | 2013-09-02 | 2014-09-02 | Detecting root cause for transaction degradation using causal bayesian networks |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN3925CH2013 IN2013CH03925A (pt) | 2013-09-02 | 2013-09-02 |
Publications (1)
Publication Number | Publication Date |
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IN2013CH03925A true IN2013CH03925A (pt) | 2015-09-11 |
Family
ID=52626542
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
IN3925CH2013 IN2013CH03925A (pt) | 2013-09-02 | 2013-09-02 |
Country Status (2)
Country | Link |
---|---|
US (1) | US10878327B2 (pt) |
IN (1) | IN2013CH03925A (pt) |
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CN105335142B (zh) * | 2014-07-29 | 2019-03-15 | 国际商业机器公司 | 在事务处理***中标识事务的性能瓶颈的方法和装置 |
US10609159B2 (en) * | 2014-08-04 | 2020-03-31 | Microsoft Technology Licensing, Llc | Providing higher workload resiliency in clustered systems based on health heuristics |
CN104899137B (zh) * | 2015-05-22 | 2017-09-01 | 华中师范大学 | 一种并发程序的缺陷模式发现方法 |
US10504026B2 (en) | 2015-12-01 | 2019-12-10 | Microsoft Technology Licensing, Llc | Statistical detection of site speed performance anomalies |
US10171335B2 (en) | 2015-12-01 | 2019-01-01 | Microsoft Technology Licensing, Llc | Analysis of site speed performance anomalies caused by server-side issues |
US10263833B2 (en) * | 2015-12-01 | 2019-04-16 | Microsoft Technology Licensing, Llc | Root cause investigation of site speed performance anomalies |
US10546241B2 (en) | 2016-01-08 | 2020-01-28 | Futurewei Technologies, Inc. | System and method for analyzing a root cause of anomalous behavior using hypothesis testing |
US10332056B2 (en) | 2016-03-14 | 2019-06-25 | Futurewei Technologies, Inc. | Features selection and pattern mining for KQI prediction and cause analysis |
US10454779B2 (en) * | 2016-08-26 | 2019-10-22 | Paypal, Inc. | Adaptive learning system with a product configuration engine |
US10298482B2 (en) | 2017-01-25 | 2019-05-21 | Ringcentral, Inc. | Systems and methods for regulating network resources to improve data-transmission quality |
US10482158B2 (en) | 2017-03-31 | 2019-11-19 | Futurewei Technologies, Inc. | User-level KQI anomaly detection using markov chain model |
US10445212B2 (en) * | 2017-05-12 | 2019-10-15 | Microsoft Technology Licensing, Llc | Correlation of failures that shift for different versions of an analysis engine |
US10616043B2 (en) | 2017-11-27 | 2020-04-07 | Google Llc | Real-time probabilistic root cause correlation of network failures |
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US11061393B2 (en) * | 2019-08-28 | 2021-07-13 | International Business Machines Corporation | Consolidating anomaly root causes and alarms using graphical granger models |
US11115280B2 (en) * | 2019-09-20 | 2021-09-07 | Cisco Technology, Inc. | Data-driven identification of features related to a state change of a network component |
US11283679B2 (en) * | 2019-09-20 | 2022-03-22 | Cisco Technology, Inc. | Data-driven identification and selection of features related to a state change of a network component |
US11036608B2 (en) | 2019-09-27 | 2021-06-15 | Appnomic Systems Private Limited | Identifying differences in resource usage across different versions of a software application |
EP4046022A4 (en) * | 2019-10-18 | 2023-11-15 | Tata Consultancy Services Limited | SYSTEMS AND METHODS FOR REAL-TIME ROOT CAUSE ANALYSIS IN INDUSTRIAL PROCESSES |
US11238129B2 (en) * | 2019-12-11 | 2022-02-01 | International Business Machines Corporation | Root cause analysis using Granger causality |
US11310141B2 (en) * | 2019-12-11 | 2022-04-19 | Cisco Technology, Inc. | Anomaly detection of model performance in an MLOps platform |
US11651254B2 (en) * | 2020-07-07 | 2023-05-16 | Intuit Inc. | Inference-based incident detection and reporting |
US11888679B2 (en) * | 2020-09-25 | 2024-01-30 | Juniper Networks, Inc. | Hypothesis driven diagnosis of network systems |
US11531581B2 (en) * | 2020-10-13 | 2022-12-20 | Citrix Systems, Inc. | Event root cause identification for computing environments |
CN113822431B (zh) * | 2021-03-19 | 2024-04-16 | 京东科技控股股份有限公司 | 贝叶斯网络的结构学习方法、装置及电子设备 |
US11847127B2 (en) * | 2021-05-12 | 2023-12-19 | Toyota Research Institute, Inc. | Device and method for discovering causal patterns |
US20230020899A1 (en) * | 2021-06-30 | 2023-01-19 | Juniper Networks, Inc. | Virtual network assistant with location input |
US11770290B2 (en) | 2021-08-13 | 2023-09-26 | Juniper Networks, Inc. | Network management actions based on access point classification |
CN117313872B (zh) * | 2023-09-28 | 2024-05-14 | 水利部交通运输部国家能源局南京水利科学研究院 | 一种基于词频统计的土石坝溃坝风险贝叶斯模型分析方法 |
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2013
- 2013-09-02 IN IN3925CH2013 patent/IN2013CH03925A/en unknown
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2014
- 2014-09-02 US US14/475,423 patent/US10878327B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
US10878327B2 (en) | 2020-12-29 |
US20150074035A1 (en) | 2015-03-12 |