公开(公告)号：US09336303B2

公开(公告)日：2016-05-10

申请号：US14065364

申请日：2013-10-28

Applicant: FTI Consulting, Inc.

Inventor： William C. Knight ,  Nicholas I. Nussbaum

IPC: G06F17/30 ,  G06N5/02 ,  G06N7/00 ,  G06N99/00

CPC classification number: G06F17/30601 ,  G06F17/30011 ,  G06F17/3064 ,  G06F17/30675 ,  G06F17/30705 ,  G06F17/30707 ,  G06F17/3071 ,  G06F17/30713 ,  G06F17/30873 ,  G06N5/02 ,  G06N5/047 ,  G06N7/005 ,  G06N99/005

Abstract: An embodiment provides a computer-implemented system and method for providing visual suggestions for cluster classification. One or more clusters comprising uncoded documents from a set are obtained. A different set of reference documents that are each classified with a code is designated. A cluster center in one of the clusters is identified. The cluster center is compared to one or more of the reference documents. Those of the reference documents that are similar to the cluster are identified based on the comparison. The classification codes of each of the similar reference documents are visually represented as a suggestion for assigning one of the classification codes to the cluster.

Abstract translation: 一个实施例提供了一种用于为集群分类提供视觉建议的计算机实现的系统和方法。 获得包括来自一组的未编码文档的一个或多个集群。 指定了各自被分类为代码的不同的参考文档集合。 识别其中一个群集中的群集中心。 将集群中心与一个或多个参考文档进行比较。 基于比较来确定与集群相似的参考文献。 每个相似参考文献的分类代码被视觉地表示为将一个分类代码分配给群集的建议。

公开(公告)号：US20180173788A1

公开(公告)日：2018-06-21

申请号：US15898199

申请日：2018-02-15

Applicant: FTI Consulting, Inc.

Inventor： William C. Knight ,  Nicholas I. Nussbaum

IPC: G06F17/30

CPC classification number: G06N5/02 ,  G06F16/287 ,  G06F16/3322 ,  G06F16/334 ,  G06F16/35 ,  G06F16/353 ,  G06F16/355 ,  G06F16/358 ,  G06F16/93 ,  G06F16/954 ,  G06N5/047 ,  G06N7/005 ,  G06N20/00

Abstract: A system and method for providing inclusion-based electronically stored information item classification suggestions with the aid of a digital computer are provided. A set of reference electronically stored information items is designated. A set of uncoded electronically stored information items is obtained. One or more of the coded reference electronically stored information items are combined with the set. A score vector is generated for each of the combined uncoded and reference electronically stored information items. The combined uncoded electronically stored information items are grouped into a plurality of clusters. The score vectors are used to generate a suggestion for assigning one of the classification codes. The visual representations of each of the classification codes of the reference electronically stored information items are displayed as a further suggestion for assigning one of the classification codes. An assignment of one of the classification codes is received.

公开(公告)号：US20170046617A1

公开(公告)日：2017-02-16

申请号：US15333182

申请日：2016-10-24

Applicant: FTI Consulting, Inc.

Inventor： William C. Knight ,  Nicholas I. Nussbaum ,  John W. Conwell

IPC: G06N5/02 ,  G06F17/30 ,  G06N5/04

CPC classification number: G06N5/02 ,  G06F16/287 ,  G06F16/3322 ,  G06F16/334 ,  G06F16/35 ,  G06F16/353 ,  G06F16/355 ,  G06F16/358 ,  G06F16/93 ,  G06F16/954 ,  G06N5/047 ,  G06N7/005 ,  G06N20/00

Abstract: A computer-implemented system and method for providing classification suggestions via concept injection is provided. Clusters of uncoded concepts are accessed. Each uncoded concept represents one or more documents including that concept. One or more uncoded concepts in one of the clusters is compared to a set of reference concepts. Each reference concept is associated with a classification code. One or more of the reference concepts most similar to the one or more uncoded concepts is placed into the cluster. A neighborhood is generated for one of the uncoded concepts in the cluster. The neighborhood includes at least one of the reference concepts placed in the cluster. One of the classification codes representative of the neighborhood of reference concepts is determined and provided as a suggestion for classification of the uncoded concept.

Abstract translation: 提供了一种通过概念注入提供分类建议的计算机实现的系统和方法。 访问未编码概念的群集。 每个未编码的概念表示包括该概念的一个或多个文档。 将一个集群中的一个或多个未编码的概念与一组参考概念进行比较。 每个参考概念与分类代码相关联。 与一个或多个未编码概念最相似的一个或多个参考概念被放置到集群中。 为集群中的一个未编码概念生成邻域。 该邻域包括放置在群集中的至少一个参考概念。 确定代表参考概念邻域的分类代码之一，作为对未编码概念进行分类的建议。

公开(公告)号：US20140059048A1

公开(公告)日：2014-02-27

申请号：US14065364

申请日：2013-10-28

Applicant: FTI Consulting, Inc.

Inventor： William C. Knight ,  Nicholas I. Nussbaum

IPC: G06F17/30

CPC classification number: G06F17/30601 ,  G06F17/30011 ,  G06F17/3064 ,  G06F17/30675 ,  G06F17/30705 ,  G06F17/30707 ,  G06F17/3071 ,  G06F17/30713 ,  G06F17/30873 ,  G06N5/02 ,  G06N5/047 ,  G06N7/005 ,  G06N99/005

Abstract: An embodiment provides a computer-implemented system and method for providing visual suggestions for cluster classification. One or more clusters comprising uncoded documents from a set are obtained. A different set of reference documents that are each classified with a code is designated. A cluster center in one of the clusters is identified. The cluster center is compared to one or more of the reference documents. Those of the reference documents that are similar to the cluster are identified based on the comparison. The classification codes of each of the similar reference documents are visually represented as a suggestion for assigning one of the classification codes to the cluster.

Abstract translation: 一个实施例提供了一种用于为集群分类提供视觉建议的计算机实现的系统和方法。 获得包括来自一组的未编码文档的一个或多个集群。 指定了各自被分类为代码的不同的参考文档集合。 识别其中一个群集中的群集中心。 将集群中心与一个或多个参考文档进行比较。 基于比较来确定与集群相似的参考文献。 每个相似参考文献的分类代码被视觉地表示为将一个分类代码分配给群集的建议。

公开(公告)号：US20170116325A1

公开(公告)日：2017-04-27

申请号：US15401450

申请日：2017-01-09

Applicant: FTI Consulting, Inc.

Inventor： William C. Knight ,  Nicholas I. Nussbaum

IPC: G06F17/30

CPC classification number: G06F17/30601 ,  G06F17/30011 ,  G06F17/3064 ,  G06F17/30675 ,  G06F17/30705 ,  G06F17/30707 ,  G06F17/3071 ,  G06F17/30713 ,  G06F17/30873 ,  G06N5/02 ,  G06N5/047 ,  G06N7/005 ,  G06N99/005

Abstract: A computer-implemented system and method for inclusion-based electronically stored information item cluster visual representation is provided. A set of reference electronically stored information items is maintained. A subset of the electronically stored information items is selected from the set, each associated with a classification code, each of the classification codes associated with a visual representation different from the visual representations of the remaining classification codes. The subset is combined with a set of uncoded electronically stored information items, each associated with a visual representation different from the visual representations of the classification codes. The combined electronically stored information items are grouped into clusters. Each of the clusters is visually represented, including displaying the visual representation associated with the code of each of the reference electronically stored information items in that cluster and the visual representation associated with each of the uncoded electronically stored information item in that cluster.

公开(公告)号：US20160253408A1

公开(公告)日：2016-09-01

申请号：US15150382

申请日：2016-05-09

Applicant: FTI Consulting, Inc.

Inventor： William C. Knight ,  Nicholas I. Nussbaum

IPC: G06F17/30

CPC classification number: G06N5/02 ,  G06F16/287 ,  G06F16/3322 ,  G06F16/334 ,  G06F16/35 ,  G06F16/353 ,  G06F16/355 ,  G06F16/358 ,  G06F16/93 ,  G06F16/954 ,  G06N5/047 ,  G06N7/005 ,  G06N20/00

Abstract: A computer-implemented system and method for providing classification suggestions is provided. A set of uncoded documents is maintained. One of the uncoded documents is selected and compared with a set of reference documents, each associated with a classification. Those reference documents that are similar to the uncoded document are identified. Relationships between the uncoded document and each reference document are identified by counting a number of similar reference documents associated with each different classification. The classification having a highest count of similar reference documents is selected for the selected uncoded document as a suggestion.

Abstract translation: 提供了一种用于提供分类建议的计算机实现的系统和方法。 维护一组未编码的文档。 选择一个未编码的文档，并与一组参考文档进行比较，每个参考文档都与分类相关联。 识别与未编码文档类似的参考文档。 未编码的文件和每个参考文件之间的关系通过计数与每个不同分类相关联的许多相似的参考文件来识别。 作为建议，为所选择的未编码文档选择具有相似参考文档的最高计数的分类。

公开(公告)号：US20140236947A1

公开(公告)日：2014-08-21

申请号：US14263934

申请日：2014-04-28

Applicant: FTI Consulting, Inc.

Inventor： William C. Knight ,  Nicholas I. Nussbaum

IPC: G06F17/30

CPC classification number: G06F17/30601 ,  G06F17/30011 ,  G06F17/3064 ,  G06F17/30675 ,  G06F17/30705 ,  G06F17/30707 ,  G06F17/3071 ,  G06F17/30713 ,  G06F17/30873 ,  G06N5/02 ,  G06N5/047 ,  G06N7/005 ,  G06N99/005

Abstract: A computer-implemented system and method for visually suggesting classification for inclusion-based document cluster spines are provided. A set of reference documents each associated with a classification code is designated. A different set of uncoded documents is obtained. One or more of the coded reference documents are combined with a plurality of uncoded documents into a combined document set. The documents in the combined document set are grouped into clusters. The clusters are organized along one or more spines, each spine including a vector. A visual suggestion for assigning one of the classification codes to one of the spines is provided, including visually representing each of the reference concepts in the clusters along that spine.

Abstract translation: 提供了一种计算机实现的系统和方法，用于视觉上建议基于包含文档簇刺的分类。 指定与分类代码相关联的一组参考文档。 获得一组不同的未编码文件。 编码参考文档中的一个或多个与多个未编码文档组合成组合文档集合。 组合文档集中的文档被分组成簇。 簇沿着一个或多个脊柱组织，每个脊柱包括一个向量。 提供了将分类代码中的一个分配给其中一个刺激的视觉建议，包括在沿着该脊柱的集群中可视地表示每个参考概念。

公开(公告)号：US09898526B2

公开(公告)日：2018-02-20

申请号：US15401450

申请日：2017-01-09

Applicant: FTI Consulting, Inc.

Inventor： William C. Knight ,  Nicholas I. Nussbaum

IPC: G06F17/30

CPC classification number: G06F17/30601 ,  G06F17/30011 ,  G06F17/3064 ,  G06F17/30675 ,  G06F17/30705 ,  G06F17/30707 ,  G06F17/3071 ,  G06F17/30713 ,  G06F17/30873 ,  G06N5/02 ,  G06N5/047 ,  G06N7/005 ,  G06N99/005

Abstract: A computer-implemented system and method for inclusion-based electronically stored information item cluster visual representation is provided. A set of reference electronically stored information items is maintained. A subset of the electronically stored information items is selected from the set, each associated with a classification code, each of the classification codes associated with a visual representation different from the visual representations of the remaining classification codes. The subset is combined with a set of uncoded electronically stored information items, each associated with a visual representation different from the visual representations of the classification codes. The combined electronically stored information items are grouped into clusters. Each of the clusters is visually represented, including displaying the visual representation associated with the code of each of the reference electronically stored information items in that cluster and the visual representation associated with each of the uncoded electronically stored information item in that cluster.

公开(公告)号：US09542483B2

公开(公告)日：2017-01-10

申请号：US14263934

申请日：2014-04-28

Applicant: FTI Consulting, Inc.

Inventor： William C. Knight ,  Nicholas I. Nussbaum

IPC: G06F17/30 ,  G06N5/02 ,  G06N7/00 ,  G06N99/00

CPC classification number: G06F17/30601 ,  G06F17/30011 ,  G06F17/3064 ,  G06F17/30675 ,  G06F17/30705 ,  G06F17/30707 ,  G06F17/3071 ,  G06F17/30713 ,  G06F17/30873 ,  G06N5/02 ,  G06N5/047 ,  G06N7/005 ,  G06N99/005

Abstract: A computer-implemented system and method for visually suggesting classification for inclusion-based document cluster spines are provided. A set of reference documents each associated with a classification code is designated. A different set of un-coded documents is obtained. One or more of the coded reference documents are combined with a plurality of un-coded documents into a combined document set. The documents in the combined document set are grouped into clusters. The clusters are organized along one or more spines, each spine including a vector. A visual suggestion for assigning one of the classification codes to one of the spines is provided, including visually representing each of the reference concepts in the clusters along that spine.

Abstract translation: 提供了一种计算机实现的系统和方法，用于视觉上建议基于包含文档簇刺的分类。 指定与分类代码相关联的一组参考文档。 获得不同的一组未编码的文档。 编码的参考文档中的一个或多个与多个未编码的文档组合成组合的文档集合。 组合文档集中的文档被分组成簇。 簇沿着一个或多个脊柱组织，每个脊柱包括一个向量。 提供了将分类代码中的一个分配给其中一个刺激的视觉建议，包括在沿着该脊柱的集群中可视地表示每个参考概念。

公开(公告)号：US20140229478A1

公开(公告)日：2014-08-14

申请号：US14252688

申请日：2014-04-14

Applicant: FTI Consulting, Inc.

Inventor： William C. Knight ,  Nicholas I. Nussbaum ,  John W. Conwell

IPC: G06F17/30

CPC classification number: G06N5/02 ,  G06F16/287 ,  G06F16/3322 ,  G06F16/334 ,  G06F16/35 ,  G06F16/353 ,  G06F16/355 ,  G06F16/358 ,  G06F16/93 ,  G06F16/954 ,  G06N5/047 ,  G06N7/005 ,  G06N20/00

Abstract: A computer-implemented system and method for providing visual classification suggestions for inclusion-based concept clusters are provided. Reference concepts each associated with a classification code are designated. One or more of the reference concepts are grouped with a plurality of uncoded concepts into a grouped concept set. Clusters are generated, each including a portion of the uncoded concepts and the reference concepts of the grouped concept set. A visual suggestion for assigning one of the classification codes to one of the clusters including visually representing each of the reference concepts in that cluster is provided.

Abstract translation: 提供了一种用于为基于包含的概念集群提供视觉分类建议的计算机实现的系统和方法。 指定与分类代码相关联的参考概念。 一个或多个参考概念与多个未编码的概念分组成分组的概念集合。 生成群集，每个群包括一部分未编码概念和分组概念集的参考概念。 提供了一种用于将一个分类代码分配给一个集群的视觉建议，包括在视觉上表示该集群中的每个参考概念。