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公开(公告)号：US20190325085A1
公开(公告)日：2019-10-24
申请号：US15959005
申请日：2018-04-20
发明人： David J. Stein , Paul T. Ogilvie , Bee-Chung Chen , Shaunak Chatterjee , Priyanka Gariba , Ke Wu , Grace W. Tang , Yangchun Luo , Boyi Chen , Amit Yadav , Ruoyang Wang , Divya Gadde , Wenxuan Gao , Amit Chandak , Varnit Agnihotri , Wei Zhuang , Joel D. Young , Weidong Zhang
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.
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公开(公告)号：US10324956B1
公开(公告)日：2019-06-18
申请号：US14937974
申请日：2015-11-11
发明人： Grace W. Tang
摘要： Techniques are provided for automatically detecting organizational affiliation of host addresses based on analysis of records. In an embodiment, computers store membership records and access records. Each membership record has an organization identifier that identifies an organization and a member identifier that identifies a member. Each access record has a member identifier that identifies a member and an address that identifies a host. The computers identify a localized subset of access records that have a particular address. The computers identify an involved subset of membership records having a member identifier that matches a member identifier of an access record of the localized subset. The computers determine statistical information based on the localized subset of access records and the involved subset of membership records. Based on the statistical information, the computers identify an organization identifier whose frequency within organization identifiers of the membership records of the involved subset exceeds a threshold.
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3.发明申请公开(公告)号：US20190132352A1
公开(公告)日：2019-05-02
申请号：US15799685
申请日：2017-10-31
发明人： Jie Zhang , Grace W. Tang , Yuefeng Li , Jenelle Bray , Theodore H. Hwa , Xi Sun , Sahil Handa
IPC分类号： H04L29/06
摘要： The disclosed embodiments provide a system for processing actions with a service. During operation, the system obtains a first attribute associated with a first cluster of entities identified as malicious to a service. Next, the system matches the first attribute to a second attribute of an entity in the first cluster. The system then uses the second attribute to identify a second cluster of entities as malicious to the service. Finally, the system uses cluster scores for identifying the first and second clusters of entities as malicious to the service to output responses to actions associated with entities in the first and second clusters of entities.
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公开(公告)号：US20240248926A1
公开(公告)日：2024-07-25
申请号：US18158416
申请日：2023-01-23
IPC分类号： G06F16/435 , G06F16/45
CPC分类号： G06F16/435 , G06F16/45
摘要： Embodiments of copypasta filtering system technologies cluster digital content items into copypasta clusters, extract a first feature set from the digital content items in the copypasta clusters, apply a first set of filters to the first feature set, and based on output of the first set of filters, divide the copypasta clusters into first intent copypasta clusters and possible second intent copypasta clusters. A second feature set is extracted from the digital content items in the possible second intent copypasta clusters. A second set of filters is applied to the second feature set. Based on output of the second set of filters, second intent copypasta clusters are created.
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公开(公告)号：US11704370B2
公开(公告)日：2023-07-18
申请号：US15959005
申请日：2018-04-20
发明人： David J. Stein , Paul T. Ogilvie , Bee-Chung Chen , Shaunak Chatterjee , Priyanka Gariba , Ke Wu , Grace W. Tang , Yangchun Luo , Boyi Chen , Amit Yadav , Ruoyang Wang , Divya Gadde , Wenxuan Gao , Amit Chandak , Varnit Agnihotri , Wei Zhuang , Joel D. Young , Weidong Zhang
IPC分类号： G06F16/907 , G06N20/00 , G06F9/445 , G06F18/214
CPC分类号： G06F16/907 , G06F9/44505 , G06F18/214 , G06N20/00
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.
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公开(公告)号：US20190325262A1
公开(公告)日：2019-10-24
申请号：US15958990
申请日：2018-04-20
发明人： David J. Stein , Paul T. Ogilvie , Bee-Chung Chen , Ke Wu , Grace W. Tang , Priyanka Gariba , Yangchun Luo , Boyi Chen , Jian Qiao , Benjamin Hoan Le , Joel D. Young , Wei Zhuang
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains feature configurations for a set of features. Next, the system obtains, from the feature configurations, an anchor containing metadata for accessing a first feature in an environment and a feature derivation for generating a second feature from the first feature. The system then uses the anchor to retrieve feature values of the first feature from the environment and uses the feature derivation to generate additional feature values of the second feature from the feature values of the first feature. Finally, the system provides the additional feature values for use with one or more machine learning models.
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公开(公告)号：US20190325258A1
公开(公告)日：2019-10-24
申请号：US15958997
申请日：2018-04-20
发明人： David J. Stein , Ke Wu , Priyanka Gariba , Grace W. Tang , Yangchun Luo , Songxiang Gu , Bee-Chung Chen
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains feature configurations for a set of features and a command for inspecting a data set that is produced using the feature configurations. Next, the system obtains, from the feature configurations, one or more anchors containing metadata for accessing the set of features in an environment and a join configuration for joining a feature with one or more additional features. The system then uses the anchors to retrieve feature values of the features and zips the feature values according to the join configuration without matching entity keys associated with the feature values. Finally, the system outputs the zipped feature values in response to the command.
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