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1. 发明授权

US07689526B2 Knowledge base with clustered data objects 有权
标题翻译：具有集群数据对象的知识库
公开(公告)号：US07689526B2
公开(公告)日：2010-03-30
申请号：US11698608
申请日：2007-01-25
申请人： John Byrnes , Richard Rohwer
发明人： John Byrnes , Richard Rohwer
IPC分类号： G06F17/00 , G06N5/00
CPC分类号： G06N5/02 , G06N5/04
摘要： A knowledge base is first characterized by an association-grounded semantics collapsed language. In response to the receipt of a query of the knowledge base, the collapsed language is used to determine whether there is an indication that the knowledge base contains knowledge requested in the query. Thereafter, the collapsed language can be used to carry out a full search for the knowledge much more efficiently than would otherwise be possible. Related methods, apparatus, and articles are also described.
摘要翻译：知识库的第一个特征是关联接地语义折叠语言。响应于接收到知识库的查询，使用折叠语言来确定是否存在知识库包含查询中请求的知识的指示。此后，折叠的语言可以比以其他方式更有效地进行全面搜索。还描述了相关方法，装置和制品。

2. 发明申请

US20090307049A1 Soft Co-Clustering of Data 审中-公开
标题翻译：数据的软共聚集
公开(公告)号：US20090307049A1
公开(公告)日：2009-12-10
申请号：US12133902
申请日：2008-06-05
申请人： Frank W. Elliott, JR. , Richard Rohwer , Stephen C. Jones , George J. Tucker , Christopher J. Kain , Craig N. Weidert
发明人： Frank W. Elliott, JR. , Richard Rohwer , Stephen C. Jones , George J. Tucker , Christopher J. Kain , Craig N. Weidert
IPC分类号： G06Q10/00 , G06Q30/00
CPC分类号： G06Q40/00 , G06Q30/0201 , G06Q30/0225
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes accessing a data structure that includes information about purchasers, merchants, and financial transactions between the purchasers and the merchants and generating purchaser clusters. Generating purchaser clusters includes clustering the purchasers based on which purchasers make purchases from the same or similar merchants. Each purchaser cluster adopts associations between purchasers belonging to the purchase cluster and merchants from which these purchasers have made purchases. The method also includes generating merchant clusters, where generating the merchant clusters includes clustering merchants based on which merchants are associated with the same or similar purchase clusters and outputting profile information that characterizes typical purchases associated with one or more of the merchant clusters for use in detecting fraudulent transactions.
摘要翻译：本说明书的主题可以包括一种方法，其包括访问包括购买者和商家之间的购买者，商家和金融交易的信息的数据结构，并且生成购买者集群。生成购买者群集包括基于哪个购买者从相同或相似的商家进行购买来聚集购买者。每个购买者群体都采用属于购买群的购买者和这些购买者购买的商家之间的协议。该方法还包括生成商家群集，其中生成商家群集包括基于哪些商家与相同或相似购买群组相关联的聚类商家，并且输出表征与一个或多个商户群集相关联的典型购买以用于检测的典型购买欺诈交易。

3. 发明授权

US08788701B1 Systems and methods for real-time determination of the semantics of a data stream 有权
标题翻译：用于实时确定数据流语义的系统和方法
公开(公告)号：US08788701B1
公开(公告)日：2014-07-22
申请号：US11509930
申请日：2006-08-25
申请人： John Byrnes , Richard Rohwer
发明人： John Byrnes , Richard Rohwer
IPC分类号： G06F15/173
CPC分类号： G06F17/30705
摘要： The present invention is directed to a method and method which analyzes large amounts of information on a real-time basis with no previous static data set. Attributes of the data, which can be thought of as data concepts, that are present in the data stream are detected and isolated. These concepts are referred to as clusters and are used to ultimately determine the semantics of the data stream. The streaming clusters have no “current membership” in the existing state of the clustering and thus the cluster sets, and their relationship to each other, must be generated and updated as the data is being received.
摘要翻译：本发明涉及一种在没有先前的静态数据集的情况下实时分析大量信息的方法和方法。检测和隔离存在于数据流中的可被认为是数据概念的数据的属性。这些概念被称为集群，并用于最终确定数据流的语义。流集群在聚类的现有状态中没有“当前成员身份”，因此必须在接收数据时生成和更新集群集，并且彼此之间的关系。

4. 发明申请

US20080183653A1 Knowledge base with clustered data objects 有权
标题翻译：具有集群数据对象的知识库
公开(公告)号：US20080183653A1
公开(公告)日：2008-07-31
申请号：US11698608
申请日：2007-01-25
申请人： John Byrnes , Richard Rohwer
发明人： John Byrnes , Richard Rohwer
IPC分类号： G06N5/02
CPC分类号： G06N5/02 , G06N5/04
摘要： A knowledge base is first characterized by an association-grounded semantics collapsed language. In response to the receipt of a query of the knowledge base, the collapsed language is used to determine whether there is an indication that the knowledge base contains knowledge requested in the query. Thereafter, the collapsed language can be used to carry out a full search for the knowledge much more efficiently than would otherwise be possible. Related methods, apparatus, and articles are also described.
摘要翻译：知识库的第一个特征是关联接地语义折叠语言。响应于接收到知识库的查询，使用折叠语言来确定是否存在知识库包含查询中请求的知识的指示。此后，折叠的语言可以比以其他方式更有效地进行全面搜索。还描述了相关方法，装置和制品。

5. 发明授权

US07853541B1 Method and apparatus for simmered greedy optimization 有权
标题翻译：贪婪优化的方法和装置
公开(公告)号：US07853541B1
公开(公告)日：2010-12-14
申请号：US11845318
申请日：2007-08-27
申请人： Sadik Kapadia , Richard Rohwer
发明人： Sadik Kapadia , Richard Rohwer
IPC分类号： G06F15/18
CPC分类号： G06K9/6226 , G06F17/11
摘要： A method and apparatus comprising a fast and highly effective stochastic algorithm, referred to as Simmered Greedy Optimization (SG(N)), for solving combinatorial optimization problems, including the co-clustering problem comprising simultaneously clustering two finite sets by maximizing the mutual information between the clusterings and deriving maximally predictive feature sets. Co-clustering has found application in many areas, particularly statistical natural language processing and bio-informatics. Provided are results of tests on a suite of statistical natural language problems comparing SG(N) with simulated annealing and a publicly available implementation of co-clustering, wherein using SG(N) provided superior results with far less computation.
摘要翻译：一种包括快速且高效的随机算法（称为Simmered Greedy Optimization（SG（N）））的方法和装置，用于解决组合优化问题，包括同时聚类问题，包括通过最大化两个有限集合之间的相互信息聚类和导出最大预测特征集。共聚集已经在许多领域得到应用，特别是统计自然语言处理和生物信息学。提供了一系列统计自然语言问题的测试结果，这些问题将SG（N）与模拟退火相比较，以及公共可用的共聚集实现，其中使用SG（N）提供优异的结果，计算量少得多。

6. 发明授权

US07672833B2 Method and apparatus for automatic entity disambiguation 有权
标题翻译：自动实体消歧的方法和装置
公开(公告)号：US07672833B2
公开(公告)日：2010-03-02
申请号：US11234692
申请日：2005-09-22
申请人： Matthias Blume , Richard Calmbach , Dayne Freitag , Richard Rohwer , Scott Zoldi
发明人： Matthias Blume , Richard Calmbach , Dayne Freitag , Richard Rohwer , Scott Zoldi
IPC分类号： G06F17/21
CPC分类号： G06F17/278 , G06Q10/10
摘要： Entity disambiguation resolves which names, words, or phrases in text correspond to distinct persons, organizations, locations, or other entities in the context of an entire corpus. The invention is based largely on language-independent algorithms. Thus, it is applicable not only to unstructured text from arbitrary human languages, but also to semi-structured data, such as citation databases and the disambiguation of named entities mentioned in wire transfer transaction records for the purpose of detecting money-laundering activity. The system uses multiple types of context as evidence for determining whether two mentions correspond to the same entity and it automatically learns the weight of evidence of each context item via corpus statistics. The invention uses multiple search keys to efficiently find pairs of mentions that correspond to the same entity, while skipping billions of unnecessary comparisons, yielding a system with very high throughput that can be applied to truly massive data.
摘要翻译：实体消歧解决了文本中的哪些名称，单词或短语对应于整个语料库上下文中不同的人，组织，位置或其他实体。本发明主要基于语言无关的算法。因此，它不仅适用于来自任意人类语言的非结构化文本，还适用于半结构化数据，例如引用数据库，以及为了检测洗钱活动而消除电汇交易记录中提到的命名实体。该系统使用多种类型的上下文作为确定两个提及是否对应于相同实体的证据，并通过语料库统计自动学习每个上下文项的证据的权重。本发明使用多个搜索密钥来有效地找到对应于相同实体的提及对，同时跳过数十亿次不必要的比较，产生可以应用于真实海量数据的非常高的吞吐量的系统。

7. 发明申请

US20070067285A1 Method and apparatus for automatic entity disambiguation 有权
标题翻译：自动实体消歧的方法和装置
公开(公告)号：US20070067285A1
公开(公告)日：2007-03-22
申请号：US11234692
申请日：2005-09-22
申请人： Matthias Blume , Richard Calmbach , Dayne Freitag , Richard Rohwer , Scott Zoldi
发明人： Matthias Blume , Richard Calmbach , Dayne Freitag , Richard Rohwer , Scott Zoldi
IPC分类号： G06F17/30
CPC分类号： G06F17/278 , G06Q10/10
摘要： Entity disambiguation resolves which names, words, or phrases in text correspond to distinct persons, organizations, locations, or other entities in the context of an entire corpus. The invention is based largely on language-independent algorithms. Thus, it is applicable not only to unstructured text from arbitrary human languages, but also to semi-structured data, such as citation databases and the disambiguation of named entities mentioned in wire transfer transaction records for the purpose of detecting money-laundering activity. The system uses multiple types of context as evidence for determining whether two mentions correspond to the same entity and it automatically learns the weight of evidence of each context item via corpus statistics. The invention uses multiple search keys to efficiently find pairs of mentions that correspond to the same entity, while skipping billions of unnecessary comparisons, yielding a system with very high throughput that can be applied to truly massive data.
摘要翻译：实体消歧解决了文本中的哪些名称，单词或短语对应于整个语料库上下文中不同的人，组织，位置或其他实体。本发明主要基于语言无关的算法。因此，它不仅适用于来自任意人类语言的非结构化文本，还适用于半结构化数据，例如引用数据库，以及为了检测洗钱活动而消除电汇交易记录中提到的命名实体。该系统使用多种类型的上下文作为确定两个提及是否对应于相同实体的证据，并通过语料库统计自动学习每个上下文项的证据的权重。本发明使用多个搜索密钥来有效地找到对应于相同实体的提及对，同时跳过数十亿次不必要的比较，产生可以应用于真实海量数据的非常高的吞吐量的系统。

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