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1. 发明申请

US20070118518A1 Text summarization method and apparatus using a multidimensional subspace 有权
标题翻译：使用多维子空间的文本摘要方法和装置
公开(公告)号：US20070118518A1
公开(公告)日：2007-05-24
申请号：US11417196
申请日：2006-05-04
申请人： Yuan-Jye Wu , Anne Kao , Stephen Poteet , William Ferng , Robert Cranfill
发明人： Yuan-Jye Wu , Anne Kao , Stephen Poteet , William Ferng , Robert Cranfill
IPC分类号： G06F17/30
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添加，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。

2. 发明申请

US20070118506A1 Text summarization method & apparatus using a multidimensional subspace 有权
标题翻译：使用多维子空间的文本汇总方法和装置
公开(公告)号：US20070118506A1
公开(公告)日：2007-05-24
申请号：US11281499
申请日：2005-11-18
申请人： Anne Kao , Stephen Poteet , Yuan-Jye Wu , William Ferng , Robert Cranfill
发明人： Anne Kao , Stephen Poteet , Yuan-Jye Wu , William Ferng , Robert Cranfill
IPC分类号： G06F17/30
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添加，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。

3. 发明申请

US20070083509A1 Streaming text data mining method & apparatus using multidimensional subspaces 有权
标题翻译：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：US20070083509A1
公开(公告)日：2007-04-12
申请号：US11246195
申请日：2005-10-11
申请人： Yuan-Jye Wu , Anne Kao , Stephen Poteet , William Ferng , Robert Cranfill
发明人： Yuan-Jye Wu , Anne Kao , Stephen Poteet , William Ferng , Robert Cranfill
IPC分类号： G06F17/30
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。

4. 发明申请

US20070022072A1 Text differentiation methods, systems, and computer program products for content analysis 有权
标题翻译：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：US20070022072A1
公开(公告)日：2007-01-25
申请号：US11173600
申请日：2005-07-01
申请人： Anne Kao , Stephen Poteet , Yuan-Jye Wu , William Ferng , Robert Cranfill
发明人： Anne Kao , Stephen Poteet , Yuan-Jye Wu , William Ferng , Robert Cranfill
IPC分类号： G06N5/00 , G06F17/00
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。

5. 发明申请

US20100198776A1 SYSTEM AND METHOD FOR DEPENDENCY AND ROOT CAUSE DISCOVERY 有权
标题翻译：用于依赖和根源的系统和方法发现
公开(公告)号：US20100198776A1
公开(公告)日：2010-08-05
申请号：US12364182
申请日：2009-02-02
申请人： Haiqin Wang , Robert Cranfill , Jai Joon Choi , Changzhou Wang , Sidney Ly , William Ferng
发明人： Haiqin Wang , Robert Cranfill , Jai Joon Choi , Changzhou Wang , Sidney Ly , William Ferng
IPC分类号： G06F17/00
CPC分类号： G06Q10/00
摘要： The embodiments described herein describe a computerized system and method for retrieving and processing data to provide dependency and root cause information for a process. The computerized system and method include receiving historic data of the process, detecting temporal dependency or precedence tasks in the process from the historic data, generating a historic dependency graph, aggregating the historic dependency graph into a probabilistic precedence network (PPN), pruning the PPN, and presenting results to a user.
摘要翻译：这里描述的实施例描述了用于检索和处理数据以为过程提供依赖性和根本原因信息的计算机化系统和方法。计算机化系统和方法包括接收过程的历史数据，从历史数据中检测过程中的时间依赖或优先任务，生成历史依赖图，将历史依赖图聚集成概率优先网络（PPN），修剪PPN ，并向用户呈现结果。

6. 发明授权

US08458117B2 System and method for dependency and root cause discovery 有权
标题翻译：依赖和根本原因发现的系统和方法
公开(公告)号：US08458117B2
公开(公告)日：2013-06-04
申请号：US12364182
申请日：2009-02-02
申请人： Haiqin Wang , Robert Cranfill , Jai Joon Choi , Changzhou Wang , Sidney Ly , William Ferng
发明人： Haiqin Wang , Robert Cranfill , Jai Joon Choi , Changzhou Wang , Sidney Ly , William Ferng
IPC分类号： G06N5/00
CPC分类号： G06Q10/00
摘要： The embodiments described herein describe a computerized system and method for retrieving and processing data to provide dependency and root cause information for a process. The computerized system and method include receiving historic data of the process, detecting temporal dependency or precedence tasks in the process from the historic data, generating a historic dependency graph, aggregating the historic dependency graph into a probabilistic precedence network (PPN), pruning the PPN, and presenting results to a user.
摘要翻译：这里描述的实施例描述了用于检索和处理数据以为过程提供依赖性和根本原因信息的计算机化系统和方法。计算机化系统和方法包括接收过程的历史数据，从历史数据中检测过程中的时间依赖或优先任务，生成历史依赖图，将历史依赖图聚集成概率优先网络（PPN），修剪PPN ，并向用户呈现结果。

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