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公开(公告)号：US20230214454A1
公开(公告)日：2023-07-06
申请号：US17568305
申请日：2022-01-04
发明人： Ke Wei Wei , Jun Wang , Shuang YS Yu , Guang Ming Zhang , Yuan Feng , Yi Dai , Ling Zhuo , Jing Xu
CPC分类号： G06K9/6257 , G06K9/6263 , G06K9/6219 , G06N20/20
摘要： An embodiment generates an initial set of training data from monitoring data. The initial set of training data is generated by combining outputs from a plurality of pretrained classifiers. The embodiment trains a new classification model using the initial set of training data to identify anomalies in monitoring data. The embodiment performs a multiple-level clustering of the data samples resulting in a plurality of clusters of sub-clusters of data samples, and generates a review list of data samples by selecting a representative data sample from each of the clusters. The embodiment receives an updated data sample from the expert review that includes a revised target classification for at least one of the data samples of the expert review list. The embodiment then trains another replacement classification model using a revised set of training data that includes the updated data sample and associated revised target classification.
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公开(公告)号：US20190171738A1
公开(公告)日：2019-06-06
申请号：US15829862
申请日：2017-12-01
发明人： Ke Ke Cai , Zhong Su , Bing Jiang Sun , Shuang YS Yu , Shi Wan Zhao
IPC分类号： G06F17/30
摘要： A virtual change database system that supports iterative and parallel database application development is disclosed. The system stores a common set of base physical data and a plurality of sets of virtual changes. Each set of virtual changes is associated with a database object. A database application may access a database object in the database by using the virtual version of the object to extract the object's data content from the common base physical data. The database system present a first query response to (i) a first application based on the set of base physical data and (ii) a first set of virtual changes for a particular database object, while also presenting a second query response to a second application based on the set of base physical data and a second, different set of virtual changes for the particular database object.
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公开(公告)号：US12039011B2
公开(公告)日：2024-07-16
申请号：US17568305
申请日：2022-01-04
发明人： Ke Wei Wei , Jun Wang , Shuang YS Yu , Guang Ming Zhang , Yuan Feng , Yi Dai , Ling Zhuo , Jing Xu
IPC分类号： G06V10/00 , G06F18/21 , G06F18/214 , G06F18/231 , G06N20/20
CPC分类号： G06F18/2148 , G06F18/2178 , G06F18/231 , G06N20/20
摘要： An embodiment generates an initial set of training data from monitoring data. The initial set of training data is generated by combining outputs from a plurality of pretrained classifiers. The embodiment trains a new classification model using the initial set of training data to identify anomalies in monitoring data. The embodiment performs a multiple-level clustering of the data samples resulting in a plurality of clusters of sub-clusters of data samples, and generates a review list of data samples by selecting a representative data sample from each of the clusters. The embodiment receives an updated data sample from the expert review that includes a revised target classification for at least one of the data samples of the expert review list. The embodiment then trains another replacement classification model using a revised set of training data that includes the updated data sample and associated revised target classification.
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公开(公告)号：US20220318652A1
公开(公告)日：2022-10-06
申请号：US17218724
申请日：2021-03-31
发明人： Ke Wei Wei , Hong Min , Shuang YS Yu , Qi Zhang , Meichi Maggie Lin , Peter Bendel , Heng Liu
IPC分类号： G06N5/04 , G06N20/00 , G06K9/62 , G06F16/23 , G06F16/2453
摘要： An approach is provided in which a method, system, and program product analyze, while training a machine learning model, a set of first data transformation operators in a first data preparation pipeline that generates a plurality of constructed features from a set of training data. The method, system, and program product create a plurality of second data preparation pipelines from the first data preparation pipeline, wherein the set of first data transformation operators are converted to a set of second data transformation operators and each assigned to one of the plurality of second data preparation pipelines. The method, system, and program product deploy the plurality of second data preparation pipelines to a runtime system.
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公开(公告)号：US11743133B2
公开(公告)日：2023-08-29
申请号：US17474820
申请日：2021-09-14
发明人： Ke Wei Wei , Wei Liu , Guo Ran Sun , Shuang YS Yu , Meichi Maggie Lin , Yi Dai
摘要： A method includes generating a plurality of vectors representing words in a plurality of documents about an information technology (IT) system and clustering the plurality of vectors to produce a plurality of clusters. The method also includes identifying a cluster of the plurality of clusters that contains a plurality of clustered vectors, generating a feature based on a plurality of words represented by the plurality of clustered vectors, and training a machine learning model to identify an anomaly in the IT system based on the feature.
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公开(公告)号：US11409729B2
公开(公告)日：2022-08-09
申请号：US15829862
申请日：2017-12-01
发明人： Ke Ke Cai , Zhong Su , Bing Jiang Sun , Shuang YS Yu , Shi Wan Zhao
IPC分类号： G06F16/23 , G06F16/21 , G06F16/2455 , G06F16/248
摘要： A virtual change database system that supports iterative and parallel database application development is disclosed. The system stores a common set of base physical data and a plurality of sets of virtual changes. Each set of virtual changes is associated with a database object. A database application may access a database object in the database by using the virtual version of the object to extract the object's data content from the common base physical data. The database system present a first query response to (i) a first application based on the set of base physical data and (ii) a first set of virtual changes for a particular database object, while also presenting a second query response to a second application based on the set of base physical data and a second, different set of virtual changes for the particular database object.
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