Rakesh Agrawal
E356896
Rakesh Agrawal is a pioneering computer scientist best known for his foundational contributions to data mining and database systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Rakesh Agrawal canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T3425605 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rakesh Agrawal Context triple: [SIGKDD Innovation Award, notableRecipient, Rakesh Agrawal]
-
A.
Laxman Narasimhan
Laxman Narasimhan is an Indian-American business executive best known as the chief executive officer of Starbucks and former CEO of Reckitt Benckiser.
-
B.
Ravi Sethi
Ravi Sethi is a computer scientist best known as a co-author of the influential textbook "Compilers: Principles, Techniques, and Tools" (the "Dragon Book") on compiler design.
-
C.
Jeffrey D. Ullman
Jeffrey D. Ullman is a prominent American computer scientist known for his foundational contributions to database theory, algorithms, and formal languages, and for coauthoring several classic textbooks in computer science.
-
D.
S. Rao Kosaraju
S. Rao Kosaraju is a computer scientist known for his contributions to algorithm design and graph theory, including early work on strongly connected components algorithms.
-
E.
Abhijit Vinayak Banerjee
Abhijit Vinayak Banerjee is an Indian-American economist and Nobel laureate renowned for his experimental approach to alleviating global poverty.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rakesh Agrawal Target entity description: Rakesh Agrawal is a pioneering computer scientist best known for his foundational contributions to data mining and database systems.
-
A.
Laxman Narasimhan
Laxman Narasimhan is an Indian-American business executive best known as the chief executive officer of Starbucks and former CEO of Reckitt Benckiser.
-
B.
Ravi Sethi
Ravi Sethi is a computer scientist best known as a co-author of the influential textbook "Compilers: Principles, Techniques, and Tools" (the "Dragon Book") on compiler design.
-
C.
Jeffrey D. Ullman
Jeffrey D. Ullman is a prominent American computer scientist known for his foundational contributions to database theory, algorithms, and formal languages, and for coauthoring several classic textbooks in computer science.
-
D.
S. Rao Kosaraju
S. Rao Kosaraju is a computer scientist known for his contributions to algorithm design and graph theory, including early work on strongly connected components algorithms.
-
E.
Abhijit Vinayak Banerjee
Abhijit Vinayak Banerjee is an Indian-American economist and Nobel laureate renowned for his experimental approach to alleviating global poverty.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
person ⓘ researcher ⓘ |
| awardReceived |
ACM SIGKDD Innovation Award
ⓘ
linked to:
SIGKDD Innovation Award
ACM SIGMOD Edgar F. Codd Innovations Award ⓘ
linked to:
ACM SIGMOD Innovations Award
IBM Fellow honor ⓘ
linked to:
IBM Fellow
VLDB 10-Year Best Paper Award ⓘ
linked to:
VLDB Test of Time Award
|
| citedBy | thousands of research papers in data mining and databases ⓘ |
| educatedAt |
Indian Institute of Technology Kanpur
ⓘ
University of Wisconsin–Madison ⓘ |
| fieldOfWork |
computer science
ⓘ
data mining ⓘ database systems ⓘ |
| hasAcademicDegree |
PhD in computer science
ⓘ
bachelor’s degree in engineering ⓘ |
| hasCitizenship | India ⓘ |
| hasEmployer |
IBM Research
ⓘ
linked to:
IBM Thomas J. Watson Research Center
Microsoft Research ⓘ |
| hasHIndex | very high in data mining and databases ⓘ |
| hasImpact |
influenced academic and industrial database research
ⓘ
shaped the field of data mining ⓘ |
| hasResearchInterest |
database system architecture
ⓘ
knowledge discovery in databases ⓘ privacy and security in data analysis ⓘ scalable algorithms for large datasets ⓘ transactional data analysis ⓘ |
| influenced |
design of large-scale database systems
ⓘ
development of commercial data mining tools ⓘ research in knowledge discovery in databases ⓘ |
| knownFor |
Apriori algorithm
ⓘ
OLAP and data warehousing research ⓘ association rule mining ⓘ foundational contributions to data mining ⓘ foundational contributions to database systems ⓘ privacy-preserving data mining ⓘ work on database performance and scalability ⓘ |
| memberOf | Association for Computing Machinery ⓘ |
| notableStudent | many researchers in data mining and databases ⓘ |
| notableWork |
development of the Apriori algorithm for association rule mining
ⓘ
paper on mining association rules between sets of items in large databases ⓘ research on privacy-preserving data mining techniques ⓘ |
| positionHeld |
IBM Fellow
ⓘ
technical fellow at Microsoft Research ⓘ |
| publicationVenue |
ACM SIGKDD Conference
ⓘ
linked to:
SIGKDD
ACM SIGMOD Conference ⓘ IEEE ICDE Conference ⓘ VLDB Conference ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Rakesh Agrawal Description of subject: Rakesh Agrawal is a pioneering computer scientist best known for his foundational contributions to data mining and database systems.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.