teaching · Retrieved date not recorded
- 15 observed schedule assignments across 7 courses.
canonical identity
AI-generated overview
Imielinski
Tomasz Imielinski is a Rutgers Computer Science Professor and founding co-director of the undergraduate Data Science program.
Sources (3)Teaching fingerprint
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Courses taught
7
15 observed sections
SIRS history
0
historical records
Portrait: Rutgers Data Science faculty profile
Academic neighborhood
Selected professor
Imielinski
7 courses · 0 research links
Notable background
Highlights surfaced by the AI overview.
Teaching and research connection
Imielinski's observed Scarlet Sync teaching record spans 7 courses. The cited professional context is summarized as: Data mining, database management, search-engine technology, and association-rule mining.
Research focus
Data mining, database management, search-engine technology, and association-rule mining.
Career and academic background
B.E./M.E., Politechnika Gdańska
Ph.D., Computer Science, Polish Academy of Sciences (1982)
1993 association-rules paper received the 2003 ACM SIGMOD Test of Time Award
Founding co-director, Rutgers undergraduate Data Science program
Sources and data notes 3 sources · high confidence
About this data
Canonical ID
imielinski
Research synthesis
No model recorded
Latest source
Not recorded
Refresh status
source-backed
Identity boundaries
No results
No external identity match is asserted
Sources
3 evidence records in this static profile.
student-feedback · Retrieved date not recorded
canonical identity
3.Rutgers Data Science faculty profile
official-profile · Retrieved date not recorded
- Tomasz Imielinski is a Rutgers Computer Science Professor and founding co-director of the undergraduate Data Science program.
- Data mining, database management, search-engine technology, and association-rule mining.
- B.E./M.E., Politechnika Gdańska
- Ph.D., Computer Science, Polish Academy of Sciences (1982)
- 1993 association-rules paper received the 2003 ACM SIGMOD Test of Time Award
- Founding co-director, Rutgers undergraduate Data Science program
high identity
Checked-in snapshotSource: Professor profile documentUpdated source-specific dates; some are not recordedMay be stale
