Search

Glenn Wisegarver Phones & Addresses

  • 2433 234Th Ct NE, Sammamish, WA 98074 (425) 868-6364 (360) 870-3662 (425) 898-9254
  • 2433 234Th Ave, Sammamish, WA 98074 (425) 898-9254
  • Redmond, WA
  • Graham, WA
  • Anacortes, WA
  • Bellingham, WA
  • Portland, OR
  • Ypsilanti, MI
  • Kiona, WA
  • Hillsboro, OR
  • 2433 234Th Ct NE #27, Sammamish, WA 98074 (425) 898-9254

Work

Position: Precision Production Occupations

Education

Degree: Associate degree or higher

Resumes

Resumes

Glenn Wisegarver Photo 1

Glenn Wisegarver

View page
Location:
Greater Seattle Area
Industry:
Computer Hardware
Glenn Wisegarver Photo 2

Glenn Wisegarver

View page

Business Records

Name / Title
Company / Classification
Phones & Addresses
Glenn G. Wisegarver
Owner
Glenn Wisegarver G
Business Consulting Services
2433 234 Ct NE, Redmond, WA 98074
Glenn Wisegarver
Vice President
SAMMAMISH ROWING ASSOCIATION
PO Box 3309, Redmond, WA 98073

Publications

Us Patents

Reconciling Data Sets

View page
US Patent:
20190251057, Aug 15, 2019
Filed:
Jun 21, 2018
Appl. No.:
16/015079
Inventors:
- Seattle WA, US
Daniel Gorrie - Seattle WA, US
Glenn Wisegarver - Sammamish WA, US
Adam Dean Loving - Seattle WA, US
International Classification:
G06F 15/18
G06K 9/62
G06Q 40/06
Abstract:
Disclosed is a reconciliation system which implements a two-stage reconciliation process. During a Training Stage, useful features of training data are identified and used to generate a machine learning model. When new data is provided which requires reconciliation, a Classification Stage uses the machine learning model to first aggregate the new data into tranches of candidate matches based on the useful features. Then, records within each tranche may be matched in a much more efficient manner.

Reconciling Data Sets

View page
US Patent:
20190251058, Aug 15, 2019
Filed:
Jun 21, 2018
Appl. No.:
16/015086
Inventors:
- Seattle WA, US
Daniel Gorrie - Seattle WA, US
Glenn Wisegarver - Sammamish WA, US
Adam Dean Loving - Seattle WA, US
International Classification:
G06F 15/18
G06K 9/62
G06Q 40/06
Abstract:
Disclosed is a reconciliation system which implements a two-stage reconciliation process. During a Training Stage, useful features of training data are identified and used to generate a machine learning model. When new data is provided which requires reconciliation, a Classification Stage uses the machine learning model to first aggregate the new data into tranches of candidate matches based on the useful features. Then, records within each tranche may be matched in a much more efficient manner.
Glenn G Wisegarver from Sammamish, WA, age ~63 Get Report