Christos Faloutsos
E356900
Christos Faloutsos is a prominent computer scientist known for his influential research in data mining, database systems, and graph analytics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Christos Faloutsos canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T3425609 — 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: Christos Faloutsos Context triple: [SIGKDD Innovation Award, notableRecipient, Christos Faloutsos]
-
A.
Michael Stonebraker
Michael Stonebraker is an influential American computer scientist and database pioneer known for creating several landmark database systems and shaping modern data management.
-
B.
Andreas Acrivos
Andreas Acrivos was a prominent Greek-American chemical engineer and fluid dynamicist renowned for his pioneering contributions to transport phenomena and complex fluid flows.
-
C.
Denny Vrandečić
Denny Vrandečić is a Croatian computer scientist and Wikimedian best known for founding Wikidata and proposing the Wikifunctions project.
-
D.
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.
-
E.
Joseph Sifakis
Joseph Sifakis is a Greek-French computer scientist renowned for his pioneering work in formal verification and model checking, for which he received the Turing Award.
- 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: Christos Faloutsos Target entity description: Christos Faloutsos is a prominent computer scientist known for his influential research in data mining, database systems, and graph analytics.
-
A.
Michael Stonebraker
Michael Stonebraker is an influential American computer scientist and database pioneer known for creating several landmark database systems and shaping modern data management.
-
B.
Andreas Acrivos
Andreas Acrivos was a prominent Greek-American chemical engineer and fluid dynamicist renowned for his pioneering contributions to transport phenomena and complex fluid flows.
-
C.
Denny Vrandečić
Denny Vrandečić is a Croatian computer scientist and Wikimedian best known for founding Wikidata and proposing the Wikifunctions project.
-
D.
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.
-
E.
Joseph Sifakis
Joseph Sifakis is a Greek-French computer scientist renowned for his pioneering work in formal verification and model checking, for which he received the Turing Award.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
computer scientist ⓘ researcher ⓘ |
| awardReceived |
ACM Fellow
ⓘ
IEEE Fellow ⓘ KDD Innovation Award ⓘ
linked to:
SIGKDD Innovation Award
VLDB 10-Year Best Paper Award ⓘ
linked to:
VLDB Best Paper Award
|
| citizenship | Greek ⓘ |
| countryOfCitizenship | Greece ⓘ |
| educatedAt | National Technical University of Athens ⓘ |
| employer |
Carnegie Mellon University
ⓘ
linked to:
CMU
|
| fieldOfWork |
anomaly detection
ⓘ
data mining ⓘ data visualization ⓘ database systems ⓘ graph analytics ⓘ graph mining ⓘ information retrieval ⓘ time-series analysis ⓘ |
| genre | scientific publications ⓘ |
| hasAcademicDiscipline | computer science ⓘ |
| hasPublishedIn |
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
ⓘ
linked to:
SIGKDD
IEEE International Conference on Data Engineering ⓘ VLDB Conference ⓘ |
| hasRole |
PhD advisor
ⓘ
conference program committee member ⓘ journal editorial board member ⓘ |
| knownFor |
influential work in data mining
ⓘ
influential work in database systems ⓘ influential work in graph analytics ⓘ work on anomaly detection in networks ⓘ work on fractal-based indexing methods ⓘ work on large-scale graph analysis ⓘ |
| languageSpoken |
English
ⓘ
Greek ⓘ |
| memberOf |
Association for Computing Machinery
ⓘ
IEEE ⓘ |
| notableWork |
research on anomaly detection in large graphs
ⓘ
research on graph mining algorithms ⓘ research on power-law distributions in graphs ⓘ research on scalable data mining ⓘ research on time-series indexing ⓘ |
| occupation |
scientist
ⓘ
university professor ⓘ |
| positionHeld | Professor ⓘ |
| researchInterest |
fraud detection in graphs
ⓘ
large-scale data analysis ⓘ network science ⓘ pattern discovery in large datasets ⓘ social network analysis ⓘ |
| workInstitution |
Carnegie Mellon University
ⓘ
linked to:
CMU
|
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: Christos Faloutsos Description of subject: Christos Faloutsos is a prominent computer scientist known for his influential research in data mining, database systems, and graph analytics.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.