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1.发明申请Method for taking automated inventory of assets and recognition of the same asset on multiple scans 审中-公开在多次扫描中自动盘点资产和识别相同资产的方法公开(公告)号：US20100030777A1
公开(公告)日：2010-02-04
申请号：US12587184
申请日：2009-10-02
CPC分类号： G06Q10/087
摘要： A computer system comprising a matching platform that has the capability to examine attributes from multiple scans on multiple attributes and determine which attributes from each scan pertain to the same attribute so the attribute is not counted twice. Extensible modules of weighted attribute matching rules can be plugged into the system which define the rules for matching based upon attributes. These modules define which attributes will be examined and the weighting of each in the matching process. The modules can contain different attributes and different weighting rules for different types of machines. With regard to weighting, when a match between attributes that are returned from two different scans occurs, the amount that match contributes toward the decision that the assets the attributes were collected from are the same asset depends upon the weighting of the particular attribute. Fuzzy snapshots and time-based reporting are possible. Matching is done on devices first, then elements installed on those devices such as software. Confidence metrics can be developed based upon the weights of matches. All matching is done against a set of attributes in the persistent data warehouse which comprise the complete set of attributes collected about a device or element from all previous scans.
摘要翻译： 一种包括匹配平台的计算机系统，其具有从多个属性上的多个扫描检查属性的能力，并且确定来自每个扫描的属性属于相同的属性，因此该属性不被计数两次。 加权属性匹配规则的可扩展模块可以插入到基于属性定义匹配规则的系统中。 这些模块定义了哪些属性将被检查，并在匹配过程中对每个属性进行加权。 模块可以包含不同类型的机器的不同属性和不同的加权规则。 关于加权，当发生从两个不同扫描返回的属性之间的匹配发生时，匹配的数量对于决定属性被收集的资产是相同的资产取决于特定属性的加权。 模糊的快照和基于时间的报告是可能的。 首先在设备上完成匹配，然后在这些设备上安装元素，如软件。 可以基于匹配的权重来开发置信度量。 所有匹配是针对持久性数据仓库中的一组属性完成的，这些属性包含从所有先前扫描中收集的有关设备或元素的完整属性集。
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2.发明申请公开(公告)号：US20100030776A1
公开(公告)日：2010-02-04
申请号：US12587162
申请日：2009-10-02
IPC分类号： G06F17/30
CPC分类号： G06Q10/087
摘要： A computer system comprising a matching platform that has the capability to examine attributes from multiple scans on multiple attributes and determine which attributes from each scan pertain to the same attribute so the attribute is not counted twice. Extensible modules of weighted attribute matching rules can be plugged into the system which define the rules for matching based upon attributes. These modules define which attributes will be examined and the weighting of each in the matching process. The modules can contain different attributes and different weighting rules for different types of machines. With regard to weighting, when a match between attributes that are returned from two different scans occurs, the amount that match contributes toward the decision that the assets the attributes were collected from are the same asset depends upon the weighting of the particular attribute. Fuzzy snapshots and time-based reporting are possible. Matching is done on devices first, then elements installed on those devices such as software. Confidence metrics can be developed based upon the weights of matches. All matching is done against a set of attributes in the persistent data warehouse which comprise the complete set of attributes collected about a device or element from all previous scans.
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