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1. 发明申请

US20090210288A1 METHOD FOR GENERATING FORECASTING LANDSCAPES 有权
标题翻译：用于生成预测景观的方法
公开(公告)号：US20090210288A1
公开(公告)日：2009-08-20
申请号：US12034616
申请日：2008-02-20
申请人： Ilya Gluhovsky , Raja Velu , Anantharaman Nagarajan
发明人： Ilya Gluhovsky , Raja Velu , Anantharaman Nagarajan
IPC分类号： G06Q10/00 , G06F17/10
CPC分类号： G06Q30/02 , G06Q30/0202
摘要： A method of generating an aggregated forecasting landscape for a particular advertiser's bidded term constructs standardized forecasting landscapes for each marketplace, rescales, by the advertiser's clickability in the respective marketplace, each of the standardized landscapes corresponding to the previous appearance of the advertiser's ad in that marketplace and whose appearance was attributed to the bidded term, and adds together the rescaled landscapes, thereby giving the advertiser a more accurate representation of how many total clicks he can expect for his advertisement as a function of how much he is willing/able to pay. In particular, estimation variance is reduced by introducing rank into the construction of the standardized landscapes, which increases the accuracy of the calculations.
摘要翻译：针对特定广告客户的投标期产生聚合预测景观的方法为每个市场构建标准化预测景观，根据广告商在相应市场中的可点击性来调整与该市场中广告主的广告的先前出现相对应的标准化景观并且其出现归因于投标的术语，并将重新定位的风景相加，从而使广告商更准确地表示他期望他的广告的总点击量，作为他愿意/能够支付多少的功能。特别地，通过在标准化景观的构建中引入等级来减少估计方差，这增加了计算的准确性。

2. 发明授权

US08296177B2 Method for generating forecasting landscapes 有权
标题翻译：生成预测景观的方法
公开(公告)号：US08296177B2
公开(公告)日：2012-10-23
申请号：US12034616
申请日：2008-02-20
申请人： Ilya Gluhovsky , Raja Velu , Anantharaman Nagarajan
发明人： Ilya Gluhovsky , Raja Velu , Anantharaman Nagarajan
IPC分类号： G06Q10/00
CPC分类号： G06Q30/02 , G06Q30/0202
摘要： A method of generating an aggregated forecasting landscape for a particular advertiser's bidded term constructs standardized forecasting landscapes for each marketplace, rescales, by the advertiser's clickability in the respective marketplace, each of the standardized landscapes corresponding to the previous appearance of the advertiser's ad in that marketplace and whose appearance was attributed to the bidded term, and adds together the rescaled landscapes, thereby giving the advertiser a more accurate representation of how many total clicks he can expect for his advertisement as a function of how much he is willing/able to pay. In particular, estimation variance is reduced by introducing rank into the construction of the standardized landscapes, which increases the accuracy of the calculations.
摘要翻译：针对特定广告客户的投标期产生聚合预测景观的方法为每个市场构建标准化预测景观，根据广告商在相应市场中的可点击性来调整与该市场中广告主的广告的先前出现相对应的标准化景观并且其出现归因于投标的术语，并将重新定位的风景相加，从而使广告商更准确地表示他期望他的广告的总点击量，作为他愿意/能够支付多少的功能。特别地，通过在标准化景观的构建中引入等级来减少估计方差，这增加了计算的准确性。

3. 发明申请

US20090006380A1 System and Method for Tracking Database Disclosures 审中-公开
标题翻译：跟踪数据库披露的系统和方法
公开(公告)号：US20090006380A1
公开(公告)日：2009-01-01
申请号：US12131079
申请日：2008-05-31
申请人： Rakesh Agrawal , Alexandre V. Evfimievski , Gerald Kiernan , Raja Velu
发明人： Rakesh Agrawal , Alexandre V. Evfimievski , Gerald Kiernan , Raja Velu
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F16/217
摘要： A system and method is provided for identifying the source of an unauthorized database disclosure. The system and method stores a plurality of past database queries and determines the relevance of the results of the past database queries (query results) to a sensitive table containing the unauthorized disclosed data. The system and method also ranks the past database queries based on the determined relevance. A list of the most relevant past database queries can then be generated which are ranked according to the relevance, such that the highest ranked queries on the list are most similar to said disclosed data. Three techniques used in embodiments of the invention include partial tuple matching, statistical linkage and deviation probability gain.
摘要翻译：提供了一种用于识别未经授权的数据库公开的来源的系统和方法。系统和方法存储多个过去的数据库查询，并确定过去的数据库查询（查询结果）的结果与包含未授权的公开数据的敏感表的相关性。系统和方法还根据确定的相关性对过去的数据库查询进行排序。然后可以生成最相关的过去数据库查询的列表，其根据相关性进行排名，使得列表中排名最高的查询与所述公开的数据最相似。在本发明的实施例中使用的三种技术包括部分元组匹配，统计连接和偏差概率增益。

4. 发明申请

US20090006431A1 SYSTEM AND METHOD FOR TRACKING DATABASE DISCLOSURES 审中-公开
标题翻译：跟踪数据库披露的系统和方法
公开(公告)号：US20090006431A1
公开(公告)日：2009-01-01
申请号：US11772054
申请日：2007-06-29
申请人： Rakesh Agrawal , Alexandre V. Evfimievski , Gerald Kiernan , Raja Velu
发明人： Rakesh Agrawal , Alexandre V. Evfimievski , Gerald Kiernan , Raja Velu
IPC分类号： G06F17/30
CPC分类号： G06F16/217
摘要： A system and method is provided for identifying the source of an unauthorized database disclosure. The system and method stores a plurality of past database queries and determines the relevance of the results of the past database queries (query results) to a sensitive table containing the unauthorized disclosed data. The system and method also ranks the past database queries based on the determined relevance. A list of the most relevant past database queries can then be generated which are ranked according to the relevance, such that the highest ranked queries on the list are most similar to said disclosed data. Three techniques used in embodiments of the invention include partial tuple matching, statistical linkage and deviation probability gain.
摘要翻译：提供了一种用于识别未经授权的数据库公开的来源的系统和方法。系统和方法存储多个过去的数据库查询，并确定过去的数据库查询（查询结果）的结果与包含未授权的公开数据的敏感表的相关性。系统和方法还根据确定的相关性对过去的数据库查询进行排序。然后可以生成最相关的过去数据库查询的列表，其根据相关性进行排名，使得列表中排名最高的查询与所述公开的数据最相似。在本发明的实施例中使用的三种技术包括部分元组匹配，统计连接和偏差概率增益。

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