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公开(公告)号：US06772225B1
公开(公告)日：2004-08-03
申请号：US09410263
申请日：1999-09-30
IPC分类号： G06F15173
CPC分类号： G06F17/30902 , Y10S707/99936
摘要： A policy enabled caching system based upon policy rules which define whether a request from a client is directed to a cache or a server. The client is coupled to a plurality of caches and to at least one server. The caches may store a subset of the data stored on the server. The policy enabled caching system stores policy rules which comprise at least one matching condition, where every request containing a matching condition falls into an associated class. Each class will have an associated routing rule, where a routing rule defines the type of routing for all the requests which fall into that class. The policy enabled caching system will receive the request from the client and classify the request according to the policy rules. The request is then routed according to the routing rule associated with the class to which the request belongs.
摘要翻译： 基于策略规则的策略启用的缓存系统，其定义来自客户端的请求是否被引导到高速缓存或服务器。 客户机耦合到多个高速缓存和至少一个服务器。 缓存可以存储存储在服务器上的数据的子集。 启用策略的缓存系统存储包含至少一个匹配条件的策略规则，其中包含匹配条件的每个请求落入相关联的类中。 每个类都将有一个关联的路由规则，其中一个路由规则定义了该类中所有请求的路由类型。 启用策略的缓存系统将从客户端接收请求，并根据策略规则对请求进行分类。 然后根据与请求所属的类相关联的路由规则路由该请求。
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2.发明授权公开(公告)号：US07970772B2
公开(公告)日：2011-06-28
申请号：US11753232
申请日：2007-05-24
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。
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公开(公告)号：US07917517B2
公开(公告)日：2011-03-29
申请号：US12039091
申请日：2008-02-28
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。
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公开(公告)号：US20090319526A1
公开(公告)日：2009-12-24
申请号：US12119766
申请日：2008-05-13
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
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公开(公告)号：US20090222472A1
公开(公告)日：2009-09-03
申请号：US12039076
申请日：2008-02-28
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。
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公开(公告)号：US20090222410A1
公开(公告)日：2009-09-03
申请号：US12039091
申请日：2008-02-28
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。
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7.发明申请SYSTEMS AND METHODS FOR RIGHTS PROTECTION OF DATASETS WITH DATASET STRUCTURE PRESERVATION 有权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
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。
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8.发明申请Methods and Apparatus for Perturbing an Evolving Data Stream for Time Series Compressibility and Privacy 有权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
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。
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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
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。
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10.发明授权Methods and apparatus for clustering evolving data streams through online and offline components 有权通过在线和离线组件对不断发展的数据流进行聚类的方法和装置公开(公告)号：US07353218B2
公开(公告)日：2008-04-01
申请号：US10641951
申请日：2003-08-14
CPC分类号： G06F17/30516 , G06F17/30598 , Y10S707/99931 , Y10S707/99943
摘要： A technique of clustering data of a data stream is provided. Online statistics are first created from the data stream. Offline processing of the online statistics is then performed when offline processing either required or desired. Online statistics may be created through the reception of data points from the data stream and the formation and updating of data groups. Offline processing may be performed by reclustering groups of data points around sampled data points and reporting the newly formed clusters.
摘要翻译： 提供了一种数据流数据聚类技术。 在线统计信息首先从数据流创建。 然后，当离线处理需要或需要时，执行脱机处理在线统计信息。 可以通过从数据流接收数据点以及数据组的形成和更新来创建在线统计。 离线处理可以通过重新聚集采样数据点周围的数据点组并报告新形成的簇来执行。
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