Barnes & Noble - Greater Seattle Area since Jan 2012
Sr Software Engineer
Atigeo - Bellevue, Washington Mar 2011 - Jan 2012
Senior Software Engineer
IPStreet Sep 2010 - Mar 2011
Data Mining and Text Analysis Consultant
FTI Consulting - Seattle, Wa Jul 2008 - Oct 2010
Computing Research Engineer
Attenex Sep 2007 - 2010
Computer Performance Engineer
Education:
University of Tulsa 1994 - 1998
BA of CIS, Computer Information Systems
Skills:
AWS Hadoop EMR Cloud Computing Distributed Systems Machine Learning MapReduce Amazon Web Services SQL Java C# .NET Python Web Applications Analytics JavaScript Software Development
Interests:
Programming, writing code analysis and optimization tools, artificial intelligence, data mining algorithms, sking, snowboarding, swimming, wine, vintage port.
William C. Knight - Bainbridge Island WA, US Nicholas I. Nussbaum - Seattle WA, US John W. Conwell - Tukwila WA, US
Assignee:
FTI Consulting, Inc. - Annapolis MD
International Classification:
G06F 7/00 G06F 17/30
US Classification:
707737, 707738, 707749
Abstract:
A system and method for displaying relationships between concepts to provide classification suggestions via nearest neighbor is provided. Reference concepts previously classified and a set of uncoded concepts are provided. At least one uncoded concept is compared with the reference concepts. One or more of the reference concepts that are similar to the at least one uncoded concept are identified. Relationships between the at least one uncoded concept and the similar reference concept are depicted on a display for classifying the at least one uncoded concept.
System And Method For Displaying Relationships Between Concepts To Provide Classification Suggestions Via Injection
William C. Knight - Bainbridge Island WA, US Nicholas I. Nussbaum - Seattle WA, US John W. Conwell - Tukwila WA, US
International Classification:
G06F 17/30
US Classification:
707737, 707E17089
Abstract:
A system and method for displaying relationships between concepts to provide classification suggestions via injection is provided. A reference set of concepts each associated with a classification code is designated. Clusters of uncoded concepts are designated. One or more of the uncoded concepts from at least one cluster are compared to the reference set. At least one of the concepts in the reference set that is similar to the one or more uncoded concepts is identified. The similar concepts are injected into the at least one cluster. Relationships between the uncoded concepts and the similar concepts in the at least one cluster are visually depicted as suggestions for classifying the uncoded concepts.
System And Method For Displaying Relationships Between Concepts To Provide Classification Suggestions Via Inclusion
William C. Knight - Bainbridge Island WA, US Nicholas I. Nussbaum - Seattle WA, US John W. Conwell - Tukwila WA, US
International Classification:
G06F 17/30
US Classification:
707737, 707E17089
Abstract:
A system and for displaying relationships between concepts to provide classification suggestions via inclusion is provided. A set of reference concepts each associated with a classification code is designated. One or more of the reference concepts are combined with a set of uncoded concepts. Clusters of the uncoded concepts and the one or more reference concepts are generated. Relationships between the uncoded concepts and the one or more reference concepts in at least one cluster are visually depicted as suggestions for classifying the uncoded concepts in that cluster.
System And Method For Generating A Reference Set For Use During Document Review
William C. Knight - Bainbridge Island WA, US Sean M. McNee - Seattle WA, US John Conwell - Tukwila WA, US
International Classification:
G06F 17/30
US Classification:
707737, 707E17089, 707E17008
Abstract:
A system and method for providing generating reference sets for use during document review is provided. A collection of unclassified documents is obtained. Selection criteria are applied to the document collection and those unclassified documents that satisfy the selection criteria are selected as reference set candidates. A classification code is assigned to each reference set candidate. A reference set is formed from the classified reference set candidates. The reference set is quality controlled and shared between one or more users.
Computer-Implemented System And Method For Providing Classification Suggestions Via Concept Injection
- Annapolis MD, US Nicholas I. Nussbaum - Seattle WA, US John W. Conwell - Tukwila WA, US
International Classification:
G06N 5/02 G06F 17/30 G06N 5/04
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.
Computer-Implemented System And Method For Providing Visual Classification Suggestions For Inclusion-Based Concept Clusters
- Annapolis MD, US Nicholas I. Nussbaum - Seattle WA, US John W. Conwell - Tukwila WA, US
Assignee:
FTI Consulting, Inc. - Annapolis MD
International Classification:
G06F 17/30
US Classification:
707732, 707737
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.
Computer-Implemented System And Method For Providing Concept Classification Suggestions Based On Concept Similarity
- Annapolis MD, US Nicolas I. Nussbaum - Seattle WA, US John W. Conwell - Tukwila WA, US
Assignee:
FTI Consulting, Inc. - Annapolis MD
International Classification:
G06N 5/02
US Classification:
706 11, 706 46, 706 52
Abstract:
A computer-implemented system and method for providing concept classification suggestions based on concept similarity are provided. One or more uncoded concepts and a plurality of reference concepts, each reference concept associated with a classification code, are obtained. At least one of the uncoded concepts is compared to the reference concepts and reference concepts similar to the at least one uncoded concept are identified based on the comparison. One of the classification codes is suggested for the at least one uncoded concept, which includes providing a number of the classification codes associated with the similar reference concepts and a number of the similar reference concepts for each of the classification codes.
In another post, a man who said he was a veteran said it is hard to respect VA because of recent scandals. The man, identifying himself as John Conwell, said he had a bad experience where a worthless doctor was looking for new jobs while saying he was trying to help.