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1. 发明申请

US20060059568A1 Metric-based monitoring and control of a limited resource 有权
标题翻译：有限资源的基于度量的监测和控制
公开(公告)号：US20060059568A1
公开(公告)日：2006-03-16
申请号：US11226927
申请日：2005-09-13
申请人： Jared Smith-Mickelson , Maxim Zhilyaev
发明人： Jared Smith-Mickelson , Maxim Zhilyaev
IPC分类号： H04L9/32
CPC分类号： H04L63/1416 , H04L43/00 , H04L43/16 , H04L63/02 , H04L63/1425 , H04L63/1441 , H04L63/1458
摘要： Detecting unauthorized or excessive use of a resource is disclosed. The value of a metric is updated based at least in part on a first data associated with a current event associated with the metric and a second data associated with a most recent prior event associated with the metric. Responsive action is taken if the updated value of the metric exceeds a threshold.
摘要翻译：公开了对未经授权或过度使用资源的检测。至少部分地基于与与度量相关联的当前事件相关联的第一数据和与与度量相关联的最近的先前事件相关联的第二数据来更新度量的值。如果度量的更新值超过阈值，则采取响应措施。

2. 发明申请

US20060004729A1 Accelerated schema-based validation 审中-公开
标题翻译：加速基于模式的验证
公开(公告)号：US20060004729A1
公开(公告)日：2006-01-05
申请号：US11173172
申请日：2005-06-30
申请人： Maxim Zhilyaev , Michael Hanson , Brian Roddy
发明人： Maxim Zhilyaev , Michael Hanson , Brian Roddy
IPC分类号： G06F17/30
CPC分类号： G06F17/2247 , G06F16/84 , G06F17/2725
摘要： Performing accelerated validation of a set of data is disclosed. A structure associated with the set of data is identified. It is determined whether the structure matches a previously learned structure. If a match is found, an accelerated validation of the first set of data is performed using validation information associated with the previously learned structure.
摘要翻译：公开了一组数据的加速验证。识别与该组数据相关联的结构。确定结构是否匹配先前学习的结构。如果找到匹配，则使用与先前学习的结构相关联的验证信息来执行第一组数据的加速验证。

3. 发明授权

US08630997B1 Streaming event procesing 有权
标题翻译：流事件处理
公开(公告)号：US08630997B1
公开(公告)日：2014-01-14
申请号：US12398810
申请日：2009-03-05
申请人： Maxim Kulkin , Roman Alekseenkov , Andrew Lazarev , Maxim Zhilyaev
发明人： Maxim Kulkin , Roman Alekseenkov , Andrew Lazarev , Maxim Zhilyaev
IPC分类号： G06F17/30
CPC分类号： G06F17/30938
摘要： A query (e.g., an extensible markup language (XML) Path or XPath query) for one or more components of a document (e.g., XML document) may be received. A forward axis graph including a plurality of nodes with edges connecting the nodes may be generated based on the query and corresponding to a traversal of the document as associated with events (e.g., XML SAX events) corresponding to the document. A plurality of matching states of the forward axis graph including at least one final state may be identified, each matching state including a subset of the nodes wherein each incoming edge to the subset originates from one of the nodes of the subset. Whether the one or more components of the query exist within the document may be based on which events correspond to transitions between the matching states and whether the final state is achieved.
摘要翻译：可以接收对于文档的一个或多个组件（例如，XML文档）的查询（例如，可扩展标记语言（XML）Path或XPath查询）。可以基于查询生成包括具有连接节点的边缘的多个节点的前向轴图，并且对应于与文档相对应的事件（例如，XML SAX事件）关联的文档遍历。可以识别包括至少一个最终状态的正向轴图的多个匹配状态，每个匹配状态包括节点的子集，其中子集的每个进入边源自该子集的一个节点。存在于文档中的查询的一个或多个组件可以基于哪些事件对应于匹配状态之间的转换以及是否实现最终状态。

4. 发明授权

US6137911A Test classification system and method 失效
标题翻译：测试分类系统和方法
公开(公告)号：US6137911A
公开(公告)日：2000-10-24
申请号：US876271
申请日：1997-06-16
申请人： Maxim Zhilyaev
发明人： Maxim Zhilyaev
IPC分类号： G06F17/30 , G06K9/62 , G06K9/72 , G06K9/74
CPC分类号： G06F17/30707 , G06K9/62
摘要： Documents are classified into one or more clusters corresponding to predefined classification categories by building a knowledge base comprising matrices of vectors which indicate the significance of terms within a corpus of text formed by the documents and classified in the knowledge base to each cluster. The significance of terms is determined assuming a standard normal probability distribution, and terms are determined to be significant to a cluster if their probability of occurrence being due to chance is low. For each cluster, statistical signatures comprising sums of weighted products and intersections of cluster terms to corpus terms are generated and used as discriminators for classifying documents. The knowledge base is built using prefix and suffix lexical rules which are context-sensitive and applied selectively to improve the accuracy and precision of classification.
摘要翻译：通过构建包括表示由文档形成的文本的语料库中的术语的重要性并将其分类到每个集群的知识库中的向量的重要性构建知识库，将文档分类为与预定义的分类类别相对应的一个或多个集群。假设标准正态概率分布来确定术语的意义，如果发生概率低于机会，则确定对于集群是有意义的。对于每个群集，生成包括加权乘积和群集项与语料库词汇的交集的统计签名，并将其用作分类文档的鉴别器。知识库使用前缀和后缀词法规则构建，这些规则是上下文相关的，并且选择性地应用，以提高分类的准确性和精度。

5. 发明授权

US08255532B2 Metric-based monitoring and control of a limited resource 有权
标题翻译：有限资源的基于度量的监测和控制
公开(公告)号：US08255532B2
公开(公告)日：2012-08-28
申请号：US11226927
申请日：2005-09-13
申请人： Jared Smith-Mickelson , Maxim Zhilyaev
发明人： Jared Smith-Mickelson , Maxim Zhilyaev
IPC分类号： G06F15/173
CPC分类号： H04L63/1416 , H04L43/00 , H04L43/16 , H04L63/02 , H04L63/1425 , H04L63/1441 , H04L63/1458
摘要： Detecting unauthorized or excessive use of a resource is disclosed. The value of a metric is updated based at least in part on a first data associated with a current event associated with the metric and a second data associated with a most recent prior event associated with the metric. Responsive action is taken if the updated value of the metric exceeds a threshold.
摘要翻译：公开了对未经授权或过度使用资源的检测。至少部分地基于与与度量相关联的当前事件相关联的第一数据和与与度量相关联的最近的先前事件相关联的第二数据来更新度量的值。如果度量的更新值超过阈值，则采取响应措施。

6. 发明申请

US20110282869A1 Access to information by quantitative analysis of enterprise web access traffic 审中-公开
标题翻译：通过企业Web访问流量的定量分析获取信息
公开(公告)号：US20110282869A1
公开(公告)日：2011-11-17
申请号：US13091725
申请日：2011-04-21
申请人： Maxim Zhilyaev , Dmitry Leshchiner
发明人： Maxim Zhilyaev , Dmitry Leshchiner
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F16/957
摘要： A method for improving search quality by quantitative analysis of enterprise web access traffic is disclosed. This invention relates to the field of data processing systems and more particularly to the field of knowledge management in corporate or enterprise. Performing search on heterogeneous data in an enterprise is complex and challenging. Present day technologies deploy costly and time consuming methods involving manual operation of data integration, pre-processing, mining and interpretation tools. Further, these methods are inefficient in retrieving relevant data. The proposed method discloses a method for exhaustive monitoring and analysis of intranet traffic to identify and retrieve relevant data in enterprise search. Resource relevance is revealed by traffic analyzer based on empirical, content-independent metric. Further, analysis of intranet traffic provides effective, timely and personalized information resource to user for selective information discovery, cross-linking of disjoint data repositories, one-click navigation to popular applications, index trimming and the like.
摘要翻译：公开了一种通过企业网络访问流量的定量分析来提高搜索质量的方法。本发明涉及数据处理系统领域，更具体涉及企业或企业知识管理领域。在企业中进行异构数据搜索是复杂而具有挑战性的。现代技术部署了昂贵且耗时的手段，涉及手工操作数据集成，预处理，挖掘和解释工具。此外，这些方法在检索相关数据方面效率低下。所提出的方法公开了一种内部网业务的详尽监控和分析方法，用于识别和检索企业搜索中的相关数据。流量分析器根据经验，内容独立指标揭示资源相关性。此外，内部网流量分析为用户提供有效，及时和个性化的信息资源，用于选择性信息发现，不相交数据存储库的交叉链接，一键导航到流行应用程序，索引修整等。

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