ROTATABLE ADJUSTING CLEANER
    2.
    发明申请

    公开(公告)号:US20240374021A1

    公开(公告)日:2024-11-14

    申请号:US18325089

    申请日:2023-05-29

    Applicant: QIANKUN ZHAO

    Inventor: QIANKUN ZHAO

    Abstract: The present utility model discloses a rotatable adjusting cleaner, comprising a brush head mounting handle, a rotational handle rotatably connected to the brush head mounting handle, and a rotational adjusting mechanism provided between the brush head mounting handle and the rotational handle; by providing a rotational adjusting mechanism between the brush head mounting handle and the rotational handle, the present utility model can achieve the rotatable adjustment of the two, so as to facilitate a user to adjust the angle of the brush head according to cleaning requirements, thereby enhancing the convenience of the use of the present application

    Predicting community members based on evolution of heterogeneous networks using a best community classifier and a multi-class community classifier
    3.
    发明授权
    Predicting community members based on evolution of heterogeneous networks using a best community classifier and a multi-class community classifier 有权
    基于使用最佳社区分类器和多类社区分类器的异构网络演进预测社区成员

    公开(公告)号:US07624081B2

    公开(公告)日:2009-11-24

    申请号:US11392987

    申请日:2006-03-28

    CPC classification number: G06F17/30882 G06F17/30864 G06Q50/01 Y10S707/99933

    Abstract: A community mining system analyzes objects of different types and relationships between the objects of different types to identify communities. The relationships between the objects have an associated time. The community mining system extracts various features related to objects of a designated type from the relationships between objects of different types that represent the evolution of the features over time. The community mining system collects training data that indicates extracted features associated with members of the communities. The community mining system then classifies an object of the designated type as being within the community based on closeness of the features of the object to the features of the training data.

    Abstract translation: 社区挖掘系统分析不同类型对象的对象,并分析不同类型的对象之间的关系,以识别社区。 对象之间的关系具有相关联的时间。 社区挖掘系统从不同类型的对象之间的关系中提取与指定类型的对象相关的各种功能,这些对象代表随时间推移的特征的演变。 社区采矿系统收集指示与社区成员相关的提取功能的培训数据。 然后,社区挖掘系统根据对象的特征与训练数据的特征的接近性,将指定类型的对象分类为在社区内。

    Predicting community members based on evolution of heterogeneous networks
    5.
    发明申请
    Predicting community members based on evolution of heterogeneous networks 有权
    基于异构网络演进预测社区成员

    公开(公告)号:US20070239677A1

    公开(公告)日:2007-10-11

    申请号:US11392987

    申请日:2006-03-28

    CPC classification number: G06F17/30882 G06F17/30864 G06Q50/01 Y10S707/99933

    Abstract: A community mining system analyzes objects of different types and relationships between the objects of different types to identify communities. The relationships between the objects have an associated time. The community mining system extracts various features related to objects of a designated type from the relationships between objects of different types that represent the evolution of the features over time. The community mining system collects training data that indicates extracted features associated with members of the communities. The community mining system then classifies an object of the designated type as being within the community based on closeness of the features of the object to the features of the training data.

    Abstract translation: 社区挖掘系统分析不同类型对象的对象,并分析不同类型的对象之间的关系,以识别社区。 对象之间的关系具有相关联的时间。 社区挖掘系统从不同类型的对象之间的关系中提取与指定类型的对象相关的各种功能,这些对象代表随时间推移的特征的演变。 社区采矿系统收集指示与社区成员相关的提取功能的培训数据。 然后,社区挖掘系统根据对象的特征与训练数据的特征的接近性,将指定类型的对象分类为在社区内。

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