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公开(公告)号：US08751424B1
公开(公告)日：2014-06-10
申请号：US13327046
申请日：2011-12-15
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06F17/30707 , G06F21/554 , G06F21/6218 , G06F2221/2113 , H04L63/20
摘要： In one embodiment a method to create a system to manage documents with sensitive or classified content comprises extracting a list of text features enabling interaction with the user developing the system to create a rule-based classifier based on the list of text features and one or more synonymous features, applying the rule-based classifier to one or more selected documents to tag a set of documents with the sensitive or classified information they contain, training a statistical text classifier using the tagged documents generated as a training set, applying the trained statistical text classifier to the training set, and reapplying the refined rule-based classifier to the one or more documents to tag a set of documents with the sensitive or classified information they contain. Other embodiments may be described.
摘要翻译： 在一个实施例中，创建用于管理具有敏感或分类内容的文档的系统的方法包括提取文本特征列表，使得能够与开发系统的用户进行交互，以便基于文本特征列表和一个或多个 同义词特征，将基于规则的分类器应用于一个或多个所选择的文档以使用其包含的敏感或分类信息来标记一组文档，使用生成为训练集的标记文档来训练统计文本分类器，应用经过训练的统计文本 分类器到训练集合，并且将精细的基于规则的分类器重新应用于一个或多个文档，以使用它们包含的敏感或分类信息标记一组文档。 可以描述其他实施例。
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公开(公告)号：US10013505B1
公开(公告)日：2018-07-03
申请号：US12686653
申请日：2010-01-13
申请人： David C. Augustine , Anne Kao , Stephen R. Poteet
发明人： David C. Augustine , Anne Kao , Stephen R. Poteet
CPC分类号： G06F17/40 , G06F16/1794
摘要： A method, apparatus and computer program product are provided for identifying a part name within a data record. A maintenance expression is initially identified within a data record and a candidate part name string is then identified by identifying a head noun within a window that is positioned within the data record based upon the expression. In addition to identifying the head noun, a modifier may also be identified adjacent to or near any occurrence of the head noun in the course of identifying the candidate part name string. The candidate part name string may then be separately matched to respective ones of a plurality of standard names with each of a plurality of string matching techniques. The resulting potential matches are then analyzed to determine a best match.
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公开(公告)号：US08825276B2
公开(公告)日：2014-09-02
申请号：US13242652
申请日：2011-09-23
申请人： Peter James Lake , Davis Scott Kinney , Anne Kao , Stephen R. Poteet , Steven C. Runo , Jay Kevin McCullough , Steven D. Chapman , Yun-Ho Sikora , David Charles Augustine
发明人： Peter James Lake , Davis Scott Kinney , Anne Kao , Stephen R. Poteet , Steven C. Runo , Jay Kevin McCullough , Steven D. Chapman , Yun-Ho Sikora , David Charles Augustine
CPC分类号： G07C5/0808 , G05B23/0229 , G05B23/0248 , G05B23/0275 , G05B23/0278 , G05B23/0281 , G05B23/0283
摘要： Methods and maintenance systems for use in analyzing data related to maintenance of at least one vehicle are disclosed. One example method includes receiving at least one fault message, receiving a maintenance event log for a vehicle. The maintenance event log including at least one maintenance event associated with the at least one fault message. The example method further includes automatically identifying a corrective action within a most recent maintenance event of the at least one maintenance event and storing a diagnostic entry including the at least one fault message and the identified corrective action, such that the diagnostic entry is retrievable from the computing device to evaluate a subsequent like fault message.
摘要翻译： 公开了用于分析与至少一辆车辆的维护有关的数据的方法和维护系统。 一个示例性方法包括接收至少一个故障消息，接收车辆的维护事件日志。 所述维护事件日志包括与所述至少一个故障消息相关联的至少一个维护事件。 所述示例性方法还包括自动识别所述至少一个维护事件的最新维护事件内的纠正措施，并且存储包括所述至少一个故障消息和所识别的校正动作的诊断条目，使得所述诊断条目可从 计算设备来评估随后的类似故障消息。
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4.发明授权公开(公告)号：US08577884B2
公开(公告)日：2013-11-05
申请号：US12119697
申请日：2008-05-13
申请人： Stephen R. Poteet , Anne Kao , Shan Luh
发明人： Stephen R. Poteet , Anne Kao , Shan Luh
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： Technologies are described herein for providing automated analysis and summarization of free-form comments in survey response data. A number of topic words are identified from the survey response comments, and a numeric weight is calculated for each topic word that reflects the relevance of the topic word to each comment. Each topic word is associated with one or more topics and the comments relevant to each topic is then determined based on the weights of the associated topic words in each comment. A report is generated which summarizes the topics and their relative importance in the survey response comments based upon the number of comments relevant to each.
摘要翻译： 本文描述了技术，用于在调查响应数据中提供自由分析和摘要自由形式的评论。 从调查回应评论中确定了一些主题词，并为每个主题词计算出反映主题词与每个评论的相关性的数字权重。 每个主题词与一个或多个主题相关联，然后基于每个注释中相关联的主题词的权重来确定与每个主题相关的评论。 根据与每个相关的意见数量，总结了调查回应评论中的主题及其相对重要性的报告。
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公开(公告)号：US07752204B2
公开(公告)日：2010-07-06
申请号：US11281499
申请日：2005-11-18
CPC分类号： G06F17/30719 , Y10S707/917
摘要： A text summarizer identifies relevant terms in a document, weights the terms and extracts one or more segments to produce a summary or abstract. The various terms in a particular are weighted in relation to an existing document collection. A term weight computer computes term weights for terms in the document, and a threshold comparator compares the term weights to determine if the corresponding terms are relevant to the document collection. Next, a term weight summer adds the term weights for each occurrence of each relevant term in the various segments of the document, and a summation comparator compares the summations to identify a text summarization segment representative of the document. Optionally, relevant terms can be highlighted in the term summarization segment.
摘要翻译： 文本摘要器识别文档中的相关术语，对术语加权并提取一个或多个片段以生成摘要或摘要。 特定的各种术语相对于现有的文档集进行加权。 术语权重计算机计算文档中的术语的术语权重，并且阈值比较器比较术语权重以确定相应的术语是否与文档集合相关。 接下来，术语权重加法器在文档的各个段中将每个相关项的每次出现的项权重相加，并且求和比较器比较求和以识别表示文档的文本摘要段。 可选地，相关术语可以在术语汇总段中突出显示。
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6.发明授权Text differentiation methods, systems, and computer program products for content analysis 有权文本分类方法，系统和计算机程序产品进行内容分析公开(公告)号：US07403932B2
公开(公告)日：2008-07-22
申请号：US11173600
申请日：2005-07-01
IPC分类号： G06N5/00
CPC分类号： G06F17/2211 , G06F17/30719
摘要： Provided are improved methods, apparatus, and computer program products for text differentiation which involves identifying differences between documents with similar content, not merely similar terms, and generating results. Text differentiation provides the ability to find non-similar, or different, content hidden within documents with similar overall content, but not exactly the same content. Text differentiation may be used to quickly identify key differences between similar documents.
摘要翻译： 提供了用于文本区分的改进的方法，装置和计算机程序产品，其涉及识别具有相似内容的文档之间的差异，而不仅仅是类似的术语，并且产生结果。 文本区分提供了找到隐藏在具有类似总体内容但不完全相同的内容的文档内的不相似或不同的内容的能力。 文本差异可能用于快速识别类似文档之间的关键差异。
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公开(公告)号：US20130079972A1
公开(公告)日：2013-03-28
申请号：US13242652
申请日：2011-09-23
申请人： Peter James Lake , Davis Scott Kinney , Anne Kao , Stephen R. Poteet , Steven C. Runo , Jay Kevin McCullough , Steven D. Chapman , Yun-Ho Sikora , David Charles Augustine
发明人： Peter James Lake , Davis Scott Kinney , Anne Kao , Stephen R. Poteet , Steven C. Runo , Jay Kevin McCullough , Steven D. Chapman , Yun-Ho Sikora , David Charles Augustine
IPC分类号： G01M17/00
CPC分类号： G07C5/0808 , G05B23/0229 , G05B23/0248 , G05B23/0275 , G05B23/0278 , G05B23/0281 , G05B23/0283
摘要： Methods and maintenance systems for use in analyzing data related to maintenance of at least one vehicle are disclosed. One example method includes receiving at least one fault message, receiving a maintenance event log for a vehicle. The maintenance event log including at least one maintenance event associated with the at least one fault message. The example method further includes automatically identifying a corrective action within a most recent maintenance event of the at least one maintenance event and storing a diagnostic entry including the at least one fault message and the identified corrective action, such that the diagnostic entry is retrievable from the computing device to evaluate a subsequent like fault message.
摘要翻译： 公开了用于分析与至少一辆车辆的维护有关的数据的方法和维护系统。 一个示例性方法包括接收至少一个故障消息，接收车辆的维护事件日志。 所述维护事件日志包括与所述至少一个故障消息相关联的至少一个维护事件。 所述示例性方法还包括自动识别所述至少一个维护事件的最新维护事件内的纠正措施，并且存储包括所述至少一个故障消息和所识别的校正动作的诊断条目，使得所述诊断条目可从 计算设备来评估随后的类似故障消息。
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8.发明授权Streaming text data mining method and apparatus using multidimensional subspaces 有权使用多维子空间的流文本数据挖掘方法和装置公开(公告)号：US08234279B2
公开(公告)日：2012-07-31
申请号：US11246195
申请日：2005-10-11
CPC分类号： G06F17/30705 , G06F17/30616
摘要： A streaming text data comparator performs real-time text data mining on streaming text data. The comparator receives a streaming text data document and generates a vector representation of the term frequencies relating to an existing document collection. The comparator then transforms the term frequency vector into a projection in a precomputed multidimensional subspace that represents the original document collection. The comparator further calculates a relationship value representing the similarities or differences between the vector representation and the subspace, and compares the relationship value to a predetermined threshold to determine whether the streaming text data document is related to the original document collection. If the streaming text data document is related, the streaming text data comparator intercalates the new document into the document collection. If the new document is not related, the comparator may store or delete the unrelated document.
摘要翻译： 流文本数据比较器在流文本数据上执行实时文本数据挖掘。 比较器接收流文本数据文档并生成与现有文档集合相关的术语频率的向量表示。 比较器然后将术语频率矢量转换成表示原始文档集合的预计算多维子空间中的投影。 比较器还计算表示向量表示和子空间之间的相似性或差异的关系值，并将关系值与预定阈值进行比较，以确定流文本数据文档是否与原始文档集合相关。 如果流文本数据文档相关，则流文本数据比较器将新文档插入到文档集合中。 如果新文档不相关，则比较器可以存储或删除不相关的文档。
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9.发明授权Method and apparatus for constructing a query based upon concepts associated with one or more search terms 有权基于与一个或多个搜索项相关联的概念构建查询的方法和装置公开(公告)号：US09589053B1
公开(公告)日：2017-03-07
申请号：US12971799
申请日：2010-12-17
CPC分类号： G06F17/30864 , G06Q30/02
摘要： A method and apparatus are provided to efficiently generate a fulsome query in order to increase the recall and/or precision provided by the search. A method may construct a query by receiving the one or more initial search terms and then defining a concept for each search term. In order to define a concept, the method may determine if a concept associated with a respective search term has been previously defined. In an instance in which a concept associated with a respective search term has been previously defined, the method at least initially utilizes the previously defined concept. However, in an instance in which a concept associated with a respective search term has not been previously defined, the method constructs the concept based on terms related to the respective search term. The method may then combine the concepts defined for the one or more search terms to generate the query.
摘要翻译： 提供了一种方法和装置来有效地产生一个fulsome查询，以便增加由搜索提供的召回和/或精确度。 方法可以通过接收一个或多个初始搜索项然后为每个搜索项定义概念来构造查询。 为了定义概念，该方法可以确定与相应搜索项相关联的概念是否已经被预先定义。 在其中先前已经定义与相应搜索项相关联的概念的情况下，该方法至少最初利用先前定义的概念。 然而，在与之前未定义相关搜索项相关联的概念的情况下，该方法基于与相应搜索项相关的术语来构造概念。 然后，该方法可以组合为一个或多个搜索项定义的概念以生成查询。
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公开(公告)号：US08272064B2
公开(公告)日：2012-09-18
申请号：US11280610
申请日：2005-11-16
IPC分类号： H04L29/06
CPC分类号： H04L63/104 , G06F21/6218 , H04L63/30
摘要： A system generates rules for classifying documents are generated by building a vocabulary of features (e.g., words, phrases, acronyms, etc.) that are related to classifying concepts. The system includes a security document reader receives a security document that defines security concepts for a particular project and parses the security document to separate the security concepts. A vocabulary builder receives samples provided by the user that contain information related to the project. For each security concept, the vocabulary builder uses statistical analysis techniques to find features in the samples that are related to that concept. A rule generation assistant, for each security concept, generates rules based on the built vocabulary and the samples. The rule generation assistant uses statistical analysis techniques on the vocabulary and samples to determine features that optimally predict a particular concept. The rules can be used by a downgrader to process information to be distributed.
摘要翻译： 通过构建与分类概念相关的特征（例如，单词，短语，缩略词等）的词汇表来生成用于分类文档的系统的生成规则。 该系统包括安全文档读取器，其接收定义特定项目的安全概念的安全文档，并解析安全文档以分离安全概念。 词汇构建器接收由用户提供的包含与该项目相关的信息的样本。 对于每个安全概念，词汇构建器使用统计分析技术来查找与该概念相关的样本中的特征。 规则生成助理针对每个安全概念，根据构建的词汇表和样本生成规则。 规则生成助理使用统计分析技术对词汇和样本来确定最佳预测特定概念的特征。 这些规则可以由降级程序用于处理要发布的信息。
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