专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

11. 发明申请

US20220237074A1 DATA QUALITY-BASED COMPUTATIONS FOR KPIS DERIVED FROM TIME-SERIES DATA 有权
公开(公告)号：US20220237074A1
公开(公告)日：2022-07-28
申请号：US17656886
申请日：2022-03-29
申请人： International Business Machines Corporation
发明人： Vitobha Munigala , Diptikalyan Saha , Sattwati Kundu , Geetha Adinarayan
IPC分类号： G06F11/07 , G06F16/23 , G06N5/04
摘要： A system, computer program product, and method are presented for providing replacement data for data in a time series data stream that has issues indicative of errors, where the data issues and the replacement data are related to one or more KPIs. The method includes determining one or more predicted replacement values for potentially erroneous data instances in the time series data stream. The method further includes resolving the potentially erroneous data instances with one predicted replacement value of the one or more predicted replacement values in the time series data stream.

12. 发明授权

US11314584B1 Data quality-based confidence computations for KPIs derived from time-series data 有权
公开(公告)号：US11314584B1
公开(公告)日：2022-04-26
申请号：US17105036
申请日：2020-11-25
申请人： International Business Machines Corporation
发明人： Vitobha Munigala , Diptikalyan Saha , Sattwati Kundu , Geetha Adinarayan
IPC分类号： G06F11/00 , G06F11/07 , G06N5/04 , G06F16/23
摘要： A system, computer program product, and method are presented for providing confidence values for replacement data for data that has issues indicative of errors, where the data issues, the replacement data, and confidence values are related to one or more KPIs. The method includes identifying one or more potentially erroneous data instances and determining one or more predicted replacement values for the potentially erroneous data instances. The method further includes determining a confidence value for each predicted replacement value and resolving the one or more potentially erroneous data instances with one predicted replacement value of the one or more predicted replacement values. The method also includes generating an explanatory basis for the resolution of the one or more potentially erroneous data instances.

13. 发明授权

US11288155B2 Identifying anomalies in data during data outage 有权
公开(公告)号：US11288155B2
公开(公告)日：2022-03-29
申请号：US17128016
申请日：2020-12-19
申请人： International Business Machines Corporation
发明人： Mansoor Ahmed , Sattwati Kundu , Nair Raghunath Eledath , Geetha Adinarayan
IPC分类号： G06F11/30 , G06N20/00 , G06F11/32 , G06F11/07
摘要： A computer-implemented method, system and computer program product for identifying anomalies in data during a data outage. An anomaly detection model is built using data received from a sensor at a characterized granularity. Once a period of service occurs following a data outage, a quantum of missing data during the data outage is identified using predictive modeling if the data during the data outage is not available at the granularity in which the anomaly detection model is built. The identified quantum of missing data is retrofitted into a predicted pattern during the data outage and the analytics are then re-run on the retrofitted quantum of missing data in the predicted pattern to identify anomalies during the data outage. In this manner, anomalies in data, such as data from sensor readings, can be identified during the data outage thereby enabling the model to provide more accurate predictions of anomalies occurring during the data outage.

14. 发明申请

US20210216422A1 IDENTIFYING ANOMALIES IN DATA DURING DATA OUTAGE 有权
公开(公告)号：US20210216422A1
公开(公告)日：2021-07-15
申请号：US16739496
申请日：2020-01-10
申请人： International Business Machines Corporation
发明人： Mansoor Ahmed , Sattwati Kundu , Nair Raghunath Eledath , Geetha Adinarayan
IPC分类号： G06F11/30 , G06F11/32 , G06F11/07 , G06N20/00
摘要： A computer-implemented method, system and computer program product for identifying anomalies in data during a data outage. An anomaly detection model is built using data received from a sensor at a characterized granularity. Once a period of service occurs following a data outage, a quantum of missing data during the data outage is identified using predictive modeling if the data during the data outage is not available at the granularity in which the anomaly detection model is built. The identified quantum of missing data is retrofitted into a predicted pattern during the data outage and the analytics are then re-run on the retrofitted quantum of missing data in the predicted pattern to identify anomalies during the data outage. In this manner, anomalies in data, such as data from sensor readings, can be identified during the data outage thereby enabling the model to provide more accurate predictions of anomalies occurring during the data outage.

15. 发明申请

US20180332449A1 DATA USAGE RECOMMENDATION GENERATOR 审中-公开
公开(公告)号：US20180332449A1
公开(公告)日：2018-11-15
申请号：US16044978
申请日：2018-07-25
申请人： International Business Machines Corporation
发明人： Geetha Adinarayan , Shaw-Ben Shi , Gandhi Sivakumar , Meng Hong Tsai
IPC分类号： H04W4/24 , H04M15/00
CPC分类号： H04W4/24 , H04M15/58 , H04M15/83 , H04M15/84 , H04M15/85 , H04M15/852 , H04M15/853 , H04M15/854 , H04M15/857 , H04M15/88
摘要： The method include receiving, by one or more computer processors, a request for data usage, the request for data usage being associated with a mobile device. The method further includes identifying, by one or more computer processors, a current data usage quantity, the current data usage quantity being associated with the mobile device. The method further includes determining, by one or more computer processors, whether the current data usage quantity is beyond a threshold data usage. The method further includes responsive to the data usage quantity being beyond the threshold data usage, receiving, by one or more computer processors, mobile device information associated with the mobile device. The method further includes analyzing, by one or more computer processors, the mobile device information. The method further includes determining, by one or more computer processors, access for the request based on the mobile device information and the current data usage quantity.

16. 发明授权

US09465685B2 Identifying solutions to application execution problems in distributed computing environments 有权
标题翻译：识别分布式计算环境中应用程序执行问题的解决方案
公开(公告)号：US09465685B2
公开(公告)日：2016-10-11
申请号：US14611430
申请日：2015-02-02
申请人： International Business Machines Corporation
发明人： Geetha Adinarayan , Anindya Neogi , Vinay G. Rajagopal , Rohit Shetty
IPC分类号： G06F11/00 , G06F11/07
CPC分类号： G06F11/079 , G06F11/0706 , G06F11/0709 , G06F11/0751 , G06F11/0766 , G06F11/0775 , G06F11/0793
摘要： An expert system extracts events associated with executing an application from log files generated by various topological resources in a distributed computing environment. The events are plotted as plot points on a time series graph. Patterns are identified in the plot points that are associated with application problems, along with the computing environment configurations both before the problem and after the problem was resolved. The difference in the configurations represents a corrective action for the application problem, and the expert system links the corrective action to the pattern. When a pattern repeats in conjunction with another application problem, the corrective action is identified as a possible solution to the new problem. A confidence level associated with the pattern/corrective action may be increased when a user accepts the corrective action and may be decreased when a user rejects the corrective action.
摘要翻译：专家系统从分布式计算环境中的各种拓扑资源生成的日志文件中提取与执行应用程序相关的事件。事件在时间序列图上绘制为绘图点。在与应用程序问题相关联的绘图点中识别模式，以及问题之前和问题解决后的计算环境配置。配置的差异代表了应用程序问题的纠正措施，专家系统将纠正措施链接到模式。当模式与另一个应用程序问题相结合时，纠正措施被确定为新问题的可能解决方案。当用户接受纠正措施时，可能会增加与模式/纠正措施相关联的置信水平，并且当用户拒绝纠正措施时可能会降低置信水平。

17. 发明申请

US20160224401A1 IDENTIFYING SOLUTIONS TO APPLICATION EXECUTION PROBLEMS IN DISTRIBUTED COMPUTING ENVIRONMENTS 有权
公开(公告)号：US20160224401A1
公开(公告)日：2016-08-04
申请号：US14611430
申请日：2015-02-02
申请人： International Business Machines Corporation
发明人： Geetha Adinarayan , Anindya Neogi , Vinay G. Rajagopal , Rohit Shetty
IPC分类号： G06F11/07
CPC分类号： G06F11/079 , G06F11/0706 , G06F11/0709 , G06F11/0751 , G06F11/0766 , G06F11/0775 , G06F11/0793
摘要： An expert system extracts events associated with executing an application from log files generated by various topological resources in a distributed computing environment. The events are plotted as plot points on a time series graph. Patterns are identified in the plot points that are associated with application problems, along with the computing environment configurations both before the problem and after the problem was resolved. The difference in the configurations represents a corrective action for the application problem, and the expert system links the corrective action to the pattern. When a pattern repeats in conjunction with another application problem, the corrective action is identified as a possible solution to the new problem. A confidence level associated with the pattern/corrective action may be increased when a user accepts the corrective action and may be decreased when a user rejects the corrective action.

18. 发明申请

US20210216423A1 IDENTIFYING ANOMALIES IN DATA DURING DATA OUTAGE 有权
公开(公告)号：US20210216423A1
公开(公告)日：2021-07-15
申请号：US17128016
申请日：2020-12-19
申请人： International Business Machines Corporation
发明人： Mansoor Ahmed , Sattwati Kundu , Nair Raghunath Eledath , Geetha Adinarayan
IPC分类号： G06F11/30 , G06F11/32 , G06N20/00 , G06F11/07
摘要： A computer-implemented method, system and computer program product for identifying anomalies in data during a data outage. An anomaly detection model is built using data received from a sensor at a characterized granularity. Once a period of service occurs following a data outage, a quantum of missing data during the data outage is identified using predictive modeling if the data during the data outage is not available at the granularity in which the anomaly detection model is built. The identified quantum of missing data is retrofitted into a predicted pattern during the data outage and the analytics are then re-run on the retrofitted quantum of missing data in the predicted pattern to identify anomalies during the data outage. In this manner, anomalies in data, such as data from sensor readings, can be identified during the data outage thereby enabling the model to provide more accurate predictions of anomalies occurring during the data outage.

19. 发明授权

US10977325B2 Automatic context adaptive enterprise search and result generation on behalf of a user 有权
公开(公告)号：US10977325B2
公开(公告)日：2021-04-13
申请号：US16202043
申请日：2018-11-27
申请人： International Business Machines Corporation
发明人： Abhishek Mitra , Suranjana Samanta , Geetha Adinarayan
IPC分类号： G06F16/953 , G06F16/9535 , G06F16/2457 , G06F40/30
摘要： In an automatic context adaptive search and result generation, a server obtains an email corpus of a user for a current time period. The server identifies a set of triggering semantics in the email corpus, and using an ontology, identifies a set of topic-context pairs corresponding to each triggering semantic. The server identifies a set of paths in the ontology activated by the set of topic-context pairs and compares the set of activated paths with paths in each heatmap of a set of heatmaps, where each heatmap corresponds to a document in a set of documents. The server identifies one or more heatmaps of the set of heatmaps including one or more paths matching an activated path of the set of activated paths. The server then outputs a search result including the one or more documents corresponding to the one or more heatmaps.

20. 发明授权

US10375542B2 Data usage recommendation generator 有权
公开(公告)号：US10375542B2
公开(公告)日：2019-08-06
申请号：US16044978
申请日：2018-07-25
申请人： International Business Machines Corporation
发明人： Geetha Adinarayan , Shaw-Ben Shi , Gandhi Sivakumar , Meng Hong Tsai
IPC分类号： H04W4/00 , H04W4/24 , H04M15/00
摘要： The method include receiving, by one or more computer processors, a request for data usage, the request for data usage being associated with a mobile device. The method further includes identifying, by one or more computer processors, a current data usage quantity, the current data usage quantity being associated with the mobile device. The method further includes determining, by one or more computer processors, whether the current data usage quantity is beyond a threshold data usage. The method further includes responsive to the data usage quantity being beyond the threshold data usage, receiving, by one or more computer processors, mobile device information associated with the mobile device. The method further includes analyzing, by one or more computer processors, the mobile device information. The method further includes determining, by one or more computer processors, access for the request based on the mobile device information and the current data usage quantity.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式