专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US07631081B2 Method and apparatus for hierarchical selective personalization 有权
标题翻译：分层选择性个性化的方法和装置
公开(公告)号：US07631081B2
公开(公告)日：2009-12-08
申请号：US10789087
申请日：2004-02-27
申请人： Paul M. Dantzig , Daniel M. Dias , Arun Kwangil Ivengar , Philip Shi-Lung Yu
发明人： Paul M. Dantzig , Daniel M. Dias , Arun Kwangil Ivengar , Philip Shi-Lung Yu
IPC分类号： G06F15/16
CPC分类号： G06F17/30867
摘要： Techniques are provided for improved serving of content in a distributed data network. In one aspect of the invention, a technique for delivering content in a client-server system based on a request from a client comprises the following steps/operations. The request is obtained. A performance characteristic of at least one server or at least one cache of the client-server system is determined. Then, a level of data accuracy to be delivered to the client in response to the request is determined. The data accuracy determination is based on: (i) the determined performance characteristic of the at least one server or the at least one cache; and (ii) at least one preference associated with the client. The performance characteristic may comprise a load of the at least one server or the at least one cache. The level of data accuracy may comprise a level of personalization to be delivered to the client in response to the request. The at least one preference associated with the client may comprise at least one personalization preference.
摘要翻译：提供了用于改进分布式数据网络中的内容服务的技术。在本发明的一个方面，一种基于来自客户端的请求在客户机 - 服务器系统中传送内容的技术包括以下步骤/操作。获得请求。确定至少一个服务器或客户机 - 服务器系统的至少一个缓存的性能特征。然后，确定要响应于该请求传递给客户端的数据精度级别。数据精度确定基于：（i）所确定的至少一个服务器或至少一个高速缓存的性能特征; 和（ii）与客户端相关联的至少一个偏好。性能特征可以包括至少一个服务器或至少一个高速缓存的负载。数据准确度的级别可以包括响应于该请求而被传递给客户端的个性化级别。与客户端相关联的至少一个偏好可以包括至少一个个性化偏好。

2. 发明申请

US20100011123A1 Method and Apparatus for Hierarchical Selective Personalization 审中-公开
标题翻译：分层选择个性化的方法和装置
公开(公告)号：US20100011123A1
公开(公告)日：2010-01-14
申请号：US12562649
申请日：2009-09-18
申请人： Paul M. Dantzig , Daniel M. Dias , Arun Kwangil Iyengar , Philip Shi-Lung Yu
发明人： Paul M. Dantzig , Daniel M. Dias , Arun Kwangil Iyengar , Philip Shi-Lung Yu
IPC分类号： G06F15/16
CPC分类号： G06F16/9535
摘要： A technique for delivering content in a client-server system based on a request received at a computing device from a client includes determining a current load on a next-level computing device of a hierarchy. When this current load is such that a response time for delivery of the request from the next-level computing device would increase above a given threshold, a client type associated with the request is checked and, when the client type indicates that the client is below a given priority level, content to be delivered to the client in response to the request is personalized at the receiving computing device. When the current load is such that the response time would not increase above a given threshold, the request is sent from the receiving computing device to the next-level computing device and the content to be delivered is personalized at the next-level computing device.
摘要翻译：基于从计算设备从客户端接收的请求在客户机 - 服务器系统中传送内容的技术包括确定层次结构的下一级计算设备上的当前负载。当此当前负载使得用于递送来自下一级计算设备的请求的响应时间将增加到高于给定阈值时，检查与请求相关联的客户端类型，并且当客户端类型指示客户端在下方时在给定的优先级中，在接收计算设备处个性化要向客户端递送响应于该请求的内容。当当前负载使得响应时间不会增加到高于给定阈值时，该请求从接收计算设备发送到下一级计算设备，并且将在下一级计算设备处将要发送的内容进行个性化。

3. 发明授权

US07970772B2 Methods and apparatus for data stream clustering for abnormality monitoring 有权
标题翻译：用于异常监测的数据流聚类的方法和装置
公开(公告)号：US07970772B2
公开(公告)日：2011-06-28
申请号：US11753232
申请日：2007-05-24
申请人： Charu C. Aggarwal , Philip Shi-Lung Yu
发明人： Charu C. Aggarwal , Philip Shi-Lung Yu
IPC分类号： G06F7/00 , G06F17/30 , G06F15/16
CPC分类号： G06K9/6284 , Y10S707/952
摘要： Techniques for monitoring abnormalities in a data stream are provided. A plurality of objects are received from the data stream and one or more clusters are created from these objects. At least a portion of the one or more clusters have statistical data of the respective cluster. It is determined from the statistical data whether one or more abnormalities exist in the data stream.
摘要翻译：提供了用于监视数据流异常的技术。从数据流接收多个对象，并从这些对象创建一个或多个聚类。一个或多个集群的至少一部分具有相应集群的统计数据。从统计数据确定数据流中是否存在一个或多个异常。

4. 发明授权

US07917517B2 Method and apparatus for query processing of uncertain data 有权
标题翻译：不确定性数据查询处理方法与装置
公开(公告)号：US07917517B2
公开(公告)日：2011-03-29
申请号：US12039091
申请日：2008-02-28
申请人： Charu C. Aggarwal , Philip Shi-Lung Yu
发明人： Charu C. Aggarwal , Philip Shi-Lung Yu
IPC分类号： G06F17/30
CPC分类号： G06F17/30657
摘要： Techniques are disclosed for indexing uncertain data in query processing systems. For example, a method for processing queries in an application that involves an uncertain data set includes the following steps. A representation of records of the uncertain data set is created based on mean values and uncertainty values. The representation is utilized for processing a query received on the uncertain data set.
摘要翻译：公开了用于在查询处理系统中索引不确定数据的技术。例如，在涉及不确定数据集的应用程序中处理查询的方法包括以下步骤。基于平均值和不确定性值创建不确定数据集的记录表示。该表示用于处理在不确定数据集上接收到的查询。

5. 发明申请

US20090319526A1 Method and Apparatus for Variable Privacy Preservation in Data Mining 失效
标题翻译：数据挖掘中可变隐藏保护的方法和装置
公开(公告)号：US20090319526A1
公开(公告)日：2009-12-24
申请号：US12119766
申请日：2008-05-13
申请人： Charu C. Aggarwal , Philip Shi-Lung Yu
发明人： Charu C. Aggarwal , Philip Shi-Lung Yu
IPC分类号： G06F17/30
CPC分类号： G06F21/604 , G06F21/6245 , G06F21/6254
摘要： Improved privacy preservation techniques are disclosed for use in accordance with data mining. By way of example, a technique for preserving privacy of data records for use in a data mining application comprises the following steps/operations. Different privacy levels are assigned to the data records. Condensed groups are constructed from the data records based on the privacy levels, wherein summary statistics are maintained for each condensed group. Pseudo-data is generated from the summary statistics, wherein the pseudo-data is available for use in the data mining application. Principles of the invention are capable of handling both static and dynamic data sets
摘要翻译：公开了根据数据挖掘使用的改进的隐私保护技术。作为示例，用于保留用于数据挖掘应用的数据记录的隐私的技术包括以下步骤/操作。不同的隐私级别被分配给数据记录。基于隐私级别的数据记录构建简化组，其中为每个缩合组维护概要统计。从总结统计生成伪数据，其中伪数据可用于数据挖掘应用程序。本发明的原理能够处理静态和动态数据集

6. 发明申请

US20090222472A1 Method and Apparatus for Aggregation in Uncertain Data 有权
标题翻译：不确定数据聚合的方法和装置
公开(公告)号：US20090222472A1
公开(公告)日：2009-09-03
申请号：US12039076
申请日：2008-02-28
申请人： Charu C. Aggarwal , Philip Shi-Lung Yu
发明人： Charu C. Aggarwal , Philip Shi-Lung Yu
IPC分类号： G06F17/30
CPC分类号： G06F17/30489
摘要： Techniques are disclosed for aggregation in uncertain data in data processing systems. For example, a method of aggregation in an application that involves an uncertain data set includes the following steps. The uncertain data set along with uncertainty information is obtained. One or more clusters of data points are constructed from the data set. Aggregate statistics of the one or more clusters and uncertainty information are stored. The data set may be data from a data stream. It is realized that the use of even modest uncertainty information during an application such as a data mining process is sufficient to greatly improve the quality of the underlying results.
摘要翻译：公开了用于在数据处理系统中的不确定数据中聚合的技术。例如，涉及不确定数据集的应用程序中的聚合方法包括以下步骤。获得不确定性数据集以及不确定性信息。从数据集构建一个或多个数据点簇。存储一个或多个聚类和不确定性信息的聚合统计信息。数据集可以是来自数据流的数据。实现在诸如数据挖掘过程的应用中使用甚至适度的不确定性信息足以大大提高底层结果的质量。

7. 发明申请

US20090222410A1 Method and Apparatus for Query Processing of Uncertain Data 有权
标题翻译：不确定数据查询处理方法与装置
公开(公告)号：US20090222410A1
公开(公告)日：2009-09-03
申请号：US12039091
申请日：2008-02-28
申请人： Charu C. Aggarwal , Philip Shi-Lung Yu
发明人： Charu C. Aggarwal , Philip Shi-Lung Yu
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F17/30657
摘要： Techniques are disclosed for indexing uncertain data in query processing systems. For example, a method for processing queries in an application that involves an uncertain data set includes the following steps. A representation of records of the uncertain data set is created based on mean values and uncertainty values. The representation is utilized for processing a query received on the uncertain data set.
摘要翻译：公开了用于在查询处理系统中索引不确定数据的技术。例如，在涉及不确定数据集的应用程序中处理查询的方法包括以下步骤。基于平均值和不确定性值创建不确定数据集的记录表示。该表示用于处理在不确定数据集上接收到的查询。

8. 发明申请

US20090094265A1 SYSTEMS AND METHODS FOR RIGHTS PROTECTION OF DATASETS WITH DATASET STRUCTURE PRESERVATION 有权
标题翻译：使用数据库结构保存的数据保护的权利和方法
公开(公告)号：US20090094265A1
公开(公告)日：2009-04-09
申请号：US11867826
申请日：2007-10-05
申请人： MICHAIL VLACHOS , Philip Shi-Lung Yu
发明人： MICHAIL VLACHOS , Philip Shi-Lung Yu
IPC分类号： G06F17/30
CPC分类号： G06F21/16
摘要： A system and method for rights protection of a dataset that includes multiple trajectory objects includes determining an intensity power for embedding a watermarking key in a data trajectory. The data trajectory is modified to embed a watermarking key at the intensity power such that the intensity power guarantees an original pair-wise relationship between distance-based neighboring objects before and after embedding of the key such that a modified trajectory provides a watermarked version of the data trajectory.
摘要翻译：包括多个轨迹对象的数据集的权利保护的系统和方法包括确定用于将数字轨迹中嵌入水印密钥的强度功率。修改数据轨迹以将水印密钥嵌入强度功率，使得强度功率保证在嵌入密钥之前和之后的基于距离的相邻对象之间的原始成对关系，使得修改的轨迹提供水印版本的数据轨迹。

9. 发明申请

US20090077148A1 Methods and Apparatus for Perturbing an Evolving Data Stream for Time Series Compressibility and Privacy 有权
标题翻译：扰动不断发展的数据流的时间序列压缩和隐私的方法和装置
公开(公告)号：US20090077148A1
公开(公告)日：2009-03-19
申请号：US11855378
申请日：2007-09-14
申请人： Philip Shi-Lung Yu , Spyridon Papadimitriou
发明人： Philip Shi-Lung Yu , Spyridon Papadimitriou
IPC分类号： G06F17/10 , G06F17/14
CPC分类号： G06N7/02 , G06F17/30539 , G16H50/70
摘要： Techniques for perturbing an evolving data stream are provided. The evolving data stream is received. An online linear transformation is applied to received values of the evolving data stream generating a plurality of transform coefficients. A plurality of significant transform coefficients are selected from the plurality of transform coefficients. Noise is embedded into each of the plurality of significant transform coefficients, thereby perturbing the evolving data stream. A total noise variance does not exceed a defined noise variance threshold.
摘要翻译：提供了扰乱演进数据流的技术。收到不断发展的数据流。在线线性变换被应用于产生多个变换系数的演进数据流的接收值。从多个变换系数中选择多个有效变换系数。噪声嵌入到多个有效变换系数中的每一个中，从而扰乱演进数据流。总噪声方差不超过定义的噪声方差阈值。

10. 发明授权

US07418455B2 System and method for indexing weighted-sequences in large databases 有权
标题翻译：用于索引大数据库中加权序列的系统和方法
公开(公告)号：US07418455B2
公开(公告)日：2008-08-26
申请号：US10723229
申请日：2003-11-26
申请人： Wei Fan , Chang-Shing Perng , Haixun Wang , Philip Shi-Lung Yu
发明人： Wei Fan , Chang-Shing Perng , Haixun Wang , Philip Shi-Lung Yu
IPC分类号： G06F7/00 , G06F17/00
CPC分类号： G06F17/30327 , G06F17/30548 , Y10S707/99943
摘要： The present invention provides an index structure for managing weighted-sequences in large databases. A weighted-sequence is defined as a two-dimensional structure in which each element in the sequence is associated with a weight. A series of network events, for instance, is a weighted-sequence because each event is associated with a timestamp. Querying a large sequence database by events' occurrence patterns is a first step towards understanding the temporal causal relationships among the events. The index structure proposed herein enables the efficient retrieval from the database of all subsequences (contiguous and non-contiguous) that match a given query sequence both by events and by weights. The index structure also takes into consideration the nonuniform frequency distribution of events in the sequence data.
摘要翻译：本发明提供了一种用于在大数据库中管理加权序列的索引结构。加权序列被定义为二维结构，其中序列中的每个元素与权重相关联。例如，一系列网络事件是加权序列，因为每个事件都与时间戳相关联。通过事件发生模式查询大序列数据库是了解事件之间的时间因果关系的第一步。这里提出的索引结构使得能够通过事件和权重从数据库有效地检索与给定查询序列匹配的所有子序列（连续的和不连续的）。索引结构还考虑了序列数据中事件的不均匀频率分布。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式