Xindong Wu
E358236
Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Xindong Wu canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3450800 — 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: Xindong Wu Context triple: [SIGKDD Service Award, notableRecipient, Xindong Wu]
-
A.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
-
B.
Yuhuai Wu
Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
-
C.
Yanluo Wang
Yanluo Wang is the Chinese deity who presides over the underworld and judges the souls of the dead.
-
D.
Wei Liu
Wei Liu is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work on object detection.
-
E.
Langche Zeng
Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
- 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: Xindong Wu Target entity description: Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
-
A.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
-
B.
Yuhuai Wu
Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
-
C.
Yanluo Wang
Yanluo Wang is the Chinese deity who presides over the underworld and judges the souls of the dead.
-
D.
Wei Liu
Wei Liu is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work on object detection.
-
E.
Langche Zeng
Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
data mining ⓘ knowledge discovery in databases ⓘ machine learning ⓘ |
| hasAcademicDiscipline |
computer science
ⓘ
information technology ⓘ |
| hasActivity |
organizing international conferences on data mining
ⓘ
serving on program committees of AI conferences ⓘ |
| hasAward |
AAAS Fellow
ⓘ
ACM Distinguished Scientist ⓘ
linked to:
ACM Distinguished Member
IAPR Fellow ⓘ IEEE Fellow ⓘ |
| hasCitizenship | China ⓘ |
| hasEditorialWork |
ACM Transactions on Knowledge Discovery from Data
ⓘ
IEEE Transactions on Knowledge and Data Engineering ⓘ Knowledge and Information Systems journal ⓘ |
| hasImpact |
highly cited publications in data mining
ⓘ
widely used survey on top data mining algorithms ⓘ |
| hasPublicationType |
books
ⓘ
conference papers ⓘ edited volumes ⓘ journal articles ⓘ |
| hasResearchInterest |
association rule mining
ⓘ
big data analytics ⓘ classification algorithms ⓘ granular computing ⓘ intelligent systems ⓘ knowledge engineering ⓘ knowledge-based systems ⓘ |
| hasRole |
conference chair
ⓘ
journal editor-in-chief ⓘ |
| influenced |
development of data mining algorithms
ⓘ
education in data mining and knowledge discovery ⓘ standardization of data mining benchmarks ⓘ |
| knownFor |
data mining research
ⓘ
knowledge discovery research ⓘ |
| notableWork |
Data Mining: Concepts and Techniques
ⓘ
Top 10 algorithms in data mining ⓘ |
| occupation |
editor
ⓘ
professor ⓘ |
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: Xindong Wu Description of subject: Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.