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公开(公告)号：US20170300561A1
公开(公告)日：2017-10-19
申请号：US15483498
申请日：2017-04-10
IPC分类号： G06F17/30
CPC分类号： G06F16/3344
摘要： Some examples relate to associating an insight with data. In an example, data may be received. A determination may be made that data type of the data is same as compared to an earlier data. An insight generated from the earlier data may be identified, wherein the insight may represent intermediate or resultant data generated upon processing of the earlier data by an analytics function, and wherein during generation metadata is associated with the insight. An analytics function used for generating the insight may be identified.
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公开(公告)号：US20230412449A1
公开(公告)日：2023-12-21
申请号：US17836551
申请日：2022-06-09
IPC分类号： H04L41/0604 , H04L41/16 , H04L41/069 , H04L41/0893
CPC分类号： H04L41/0618 , H04L41/16 , H04L41/0893 , H04L41/069 , H04L41/0613
摘要： Network alert detection utilizing trained edge classification models is described. An example of a computing system includes a processor and a memory storing instructions that cause the processor to train one or more classification models at a core for detection of signatures based on training data derived from a set of error codes; deploy the one or more trained classification models at an edge of a network; receive alerts from one or more nodes in one or more clusters of nodes in the network; detect one or more signatures by processing the received alerts at the one or more trained classification models; and perform one or more actions to address a signature that is detected by the one or more trained classification models.
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公开(公告)号：US10936637B2
公开(公告)日：2021-03-02
申请号：US15483498
申请日：2017-04-10
IPC分类号： G06F16/33
摘要： Some examples relate to associating an insight with data. In an example, data may be received. A determination may be made that data type of the data is same as compared to an earlier data. An insight generated from the earlier data may be identified, wherein the insight may represent intermediate or resultant data generated upon processing of the earlier data by an analytics function, and wherein during generation metadata is associated with the insight. An analytics function used for generating the insight may be identified.
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公开(公告)号：US11204935B2
公开(公告)日：2021-12-21
申请号：US16305004
申请日：2016-05-27
摘要： Examples include bypassing a portion of an analytics workflow. In some examples, execution of an analytics workflow may be monitored upon receipt of a raw data and the execution may be interrupted at an optimal bypass stage to obtain insights data from the raw data. A similarity analysis may be performed to compare the insights data to a stored insights data in an insights data repository. Based, at least in part, on a determination of similarity, a bypass operation may be performed to bypass a remainder of the analytics workflow.
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公开(公告)号：US20190213198A1
公开(公告)日：2019-07-11
申请号：US16305004
申请日：2016-05-27
IPC分类号： G06F16/25
CPC分类号： G06F16/254 , G06F11/30
摘要： Examples include bypassing a portion of an analytics workflow. In some examples, execution of an analytics workflow may be monitored upon receipt of a raw data and the execution may be interrupted at an optimal bypass stage to obtain insights data from the raw data. A similarity analysis may be performed to compare the insights data to a stored insights data in an insights data repository. Based, at least in part, on a determination of similarity, a bypass operation may be performed to bypass a remainder of the analytics workflow.
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公开(公告)号：US20170315838A1
公开(公告)日：2017-11-02
申请号：US15399789
申请日：2017-01-06
CPC分类号： H04L67/1095 , G06F9/5088 , H04L41/0896 , H04L41/5009 , H04L43/0817 , Y02D10/32
摘要： The present subject matter relates to migrating a virtual machine (VM) from a source server to a destination server. The migration involves computation of a suitability score for each particular server in the plurality of candidate servers. The suitability score for a server indicates the suitability of the server to host the VM. In an example implementation, the suitability score for a server is computed based on satisfaction of at least one criterion for operation of the VM by the server.
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7.发明授权公开(公告)号：US12086153B1
公开(公告)日：2024-09-10
申请号：US18308093
申请日：2023-04-27
发明人： Kalapriya Kannan , Chirag Talreja , Chinmay Chaturvedi , Sagar Venkappa Nyamagouda , Jayasankar Nallasamy , Prasad Pimplaskar
CPC分类号： G06F16/254 , G06F16/213
摘要： Systems and methods are provided for generating extract-transform-load (“ETL”) machine learning (“ML”) pipeline validation rules based on user-input, wherein the ETL ML pipeline validation rules may be applicable to validate an ETL ML pipeline against multiple test datasets. The ETL ML pipeline validation rules may comprise compute-type validation rules for computing expected values of data structures within a dataset output by the ETL ML pipeline. The ETL ML pipeline validation rules may comprise check-type validation rules for checking whether data structures within a dataset output by the ETL ML pipeline have intended characteristics. Where the ETL ML pipeline validation rules are applicable to validate an ETL ML pipeline against a test dataset which was not referenced to describe the ETL ML pipeline validation rules, then the ETL ML pipeline may reuse these ETL ML pipeline validation rules to validate the ETL ML pipeline without further user-input.
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公开(公告)号：US20220230024A1
公开(公告)日：2022-07-21
申请号：US17153852
申请日：2021-01-20
摘要： Systems and methods are provided for reusing machine learning models. For example, the applicability of prior models may be compared using one or more assessment values, including a similarity threshold and/or an accuracy threshold. The similarity threshold may identify a similarity of data between a first data set used to generate a first model and a new data set that is received by the system. When the similarity between these two data sets is exceeded, the system may reuse a model with the highest similarity value. When an accuracy value of the data set does not exceed an accuracy threshold, the system may initiate a retraining process to generate a second ML model associated with the second data.
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公开(公告)号：US20220075794A1
公开(公告)日：2022-03-10
申请号：US17530866
申请日：2021-11-19
摘要： Examples include bypassing a portion of an analytics workflow. In some examples, execution of an analytics workflow may be monitored upon receipt of a raw data and the execution may be interrupted at an optimal bypass stage to obtain insights data from the raw data. A similarity analysis may be performed to compare the insights data to a stored insights data in an insights data repository. Based, at least in part, on a determination of similarity, a bypass operation may be performed to bypass a remainder of the analytics workflow.
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公开(公告)号：US20240069787A1
公开(公告)日：2024-02-29
申请号：US17821513
申请日：2022-08-23
发明人： Kalapriya Kannan , Chaitra Kallianpur , Bruce Rabe , Suparna Bhattacharya , Krishnaraju Thangaraju
IPC分类号： G06F3/06
CPC分类号： G06F3/0655 , G06F3/0604 , G06F3/0679
摘要： Examples described herein relate to preparing datasets in a storage device for machine learning (ML) applications. Examples include maintaining ML facet mappings between ML facets and dataset preparation tags, deriving ML facets of a dataset stored in the storage device, and generating filtered datasets from the datasets using the ML facets and ML facet mappings. The filtered dataset is associated with improved dataset quality compared to unfiltered dataset. The storage device transmits the filtered dataset to ML applications requesting the dataset. Some examples include recommending, by the storage device, ML facets to the ML application based on performance metrics.
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