DR. KI TAE KIM, D.C.
Chiropractic at Bascom Ave, San Jose, CA
License number
California DC27786
Category
Chiropractic
Type
Chiropractor
Address
Address
206 N Bascom Ave STE A, San Jose, CA 95128
Phone
(408) 975-9606
(408) 975-9616 (Fax)
(408) 975-9616 (Fax)
Professional information
Ki Kim - San Jose, CA
Work:
Samsung Semiconductor Inc
Manager Associate Samsung Semiconductor Inc Samsung Semiconductor Inc
Senior Financial Analyst Bankruptcy Model, Cash
Financial Analyst BR Consulting - Mesa, AZ
Investment Research Analyst I&S BUSINESS CONSULTING - Seoul, KR
Project Consultant MERRILL LYNCH - Oakland, CA
Intern at Private Client Banking Group
Manager Associate Samsung Semiconductor Inc Samsung Semiconductor Inc
Senior Financial Analyst Bankruptcy Model, Cash
Financial Analyst BR Consulting - Mesa, AZ
Investment Research Analyst I&S BUSINESS CONSULTING - Seoul, KR
Project Consultant MERRILL LYNCH - Oakland, CA
Intern at Private Client Banking Group
Education:
Cornell University - Ithaca, NY
Master of Eng in OR&IE Columbia University - New York, NY
Master of Arts in Statistics Yonsei University - Seoul, KR
Bachelors in Business Administration
Master of Eng in OR&IE Columbia University - New York, NY
Master of Arts in Statistics Yonsei University - Seoul, KR
Bachelors in Business Administration
Ki Tae Kim, San Jose CA
Specialties:
Chiropractor
Address:
206 N Bascom Ave, San Jose, CA 95128
Dr. Ki T Kim, San Jose CA - DC (Doctor of Chiropractic)
Specialties:
Chiropractic
Address:
206 N Bascom Ave STE A, San Jose 95128
(408) 975-9606 (Phone), (408) 975-9616 (Fax)
(408) 975-9606 (Phone), (408) 975-9616 (Fax)
Languages:
English
Unsupervised Message Clustering
US Patent:
2012023, Sep 20, 2012
Filed:
Mar 18, 2011
Appl. No.:
13/051299
Inventors:
KI YEUN KIM - San Jose CA, US
LEI DUAN - San Jose CA, US
SEOKKYUNG CHUNG - San Jose CA, US
LEI DUAN - San Jose CA, US
SEOKKYUNG CHUNG - San Jose CA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 17/30
US Classification:
707737, 707E17089
Abstract:
Unsupervised clustering can be used for organization of micro-blog or other short length messages into message clusters. Messages can be compared with existing clusters to determine a similarity score. If at least one similarity score is greater than a threshold value, a message can be added to an existing message cluster. If a message is not similar to an existing cluster, the message can be compared against criteria for starting a new message cluster.