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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- IN
- India
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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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- Physics & Mathematics (AREA)
- 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 |
|---|---|---|---|
| IN3925CH2013 IN2013CH03925A (es) | 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 (es) | 2013-09-02 | 2013-09-02 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| IN2013CH03925A true IN2013CH03925A (es) | 2015-09-11 |
Family
ID=52626542
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| IN3925CH2013 IN2013CH03925A (es) | 2013-09-02 | 2013-09-02 |
Country Status (2)
| Country | Link |
|---|---|
| US (1) | US10878327B2 (es) |
| IN (1) | IN2013CH03925A (es) |
Families Citing this family (33)
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| CN105335142B (zh) * | 2014-07-29 | 2019-03-15 | 国际商业机器公司 | 在事务处理系统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 |
| US10171335B2 (en) | 2015-12-01 | 2019-01-01 | Microsoft Technology Licensing, Llc | Analysis of site speed performance anomalies caused by server-side issues |
| US10504026B2 (en) | 2015-12-01 | 2019-12-10 | Microsoft Technology Licensing, Llc | Statistical detection of site speed performance anomalies |
| 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 |
| US10761921B2 (en) * | 2017-11-30 | 2020-09-01 | Optumsoft, Inc. | Automatic root cause analysis using ternary fault scenario representation |
| US10785090B2 (en) * | 2018-05-18 | 2020-09-22 | Cisco Technology, Inc. | Using machine learning based on cross-signal correlation for root cause analysis in a network assurance service |
| US11227050B1 (en) * | 2019-03-29 | 2022-01-18 | NortonLifeLock Inc. | Systems and methods for verifying decentralized federated data using influence evaluation |
| US11354184B2 (en) * | 2019-06-21 | 2022-06-07 | Palo Alto Research Center Incorporated | Method and system for performing automated root cause analysis of anomaly events in high-dimensional sensor data |
| US11487746B2 (en) * | 2019-06-28 | 2022-11-01 | Dynatrace Llc | Business impact analysis |
| 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 |
| US20240142962A1 (en) * | 2019-10-18 | 2024-05-02 | 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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| US6456622B1 (en) * | 1999-03-03 | 2002-09-24 | Hewlett-Packard Company | Method for knowledge acquisition for diagnostic bayesian networks |
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| US8751423B2 (en) * | 2010-11-30 | 2014-06-10 | General Electric Company | Turbine performance diagnostic system and methods |
| EP2870725B1 (en) * | 2012-07-04 | 2016-05-11 | Telefonaktiebolaget LM Ericsson (publ) | Method and apparatus for automatically determining causes of service quality degradation |
| US10102097B2 (en) * | 2012-07-12 | 2018-10-16 | International Business Machines Corporation | Transaction server performance monitoring using component performance data |
| US9104572B1 (en) * | 2013-02-11 | 2015-08-11 | Amazon Technologies, Inc. | Automated root cause analysis |
| US10373065B2 (en) * | 2013-03-08 | 2019-08-06 | Oracle International Corporation | Generating database cluster health alerts using machine learning |
| US9451017B2 (en) * | 2013-07-24 | 2016-09-20 | Dynatrace Llc | Method and system for combining trace data describing multiple individual transaction executions with transaction processing infrastructure monitoring data |
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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 |