Properties (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
computer scientist
|
| gptkbp:academicAdvisor |
gptkb:Peter_J._McBurney
|
| gptkbp:affiliation |
gptkb:Australian_National_University
|
| gptkbp:awards |
ACM Fellow
|
| gptkbp:birthDate |
1953-09-24
|
| gptkbp:contribution |
algorithm development
machine learning theory |
| gptkbp:field |
machine learning
|
| https://www.w3.org/2000/01/rdf-schema#label |
J. Ross Quinlan
|
| gptkbp:influenced |
artificial intelligence
data mining pattern recognition statistical learning theory |
| gptkbp:influencedBy |
gptkb:John_Ross_Quinlan
|
| gptkbp:knownFor |
C4.5 algorithm
|
| gptkbp:nationality |
Australian
|
| gptkbp:notableFeature |
gptkb:David_W._Aha
Decision Trees C4.5: Programs for Machine Learning |
| gptkbp:publishes |
ID3
C4.5: Programs for Machine Learning |
| gptkbp:researchAreas |
data science
|
| gptkbp:researchContribution |
gptkb:explainable_AI
cloud computing data analysis theoretical computer science data preprocessing data visualization deep learning machine learning applications neural networks predictive modeling reinforcement learning supervised learning unsupervised learning algorithm efficiency big data analytics data classification feature selection AI safety information retrieval transfer learning data mining techniques ensemble methods support vector machines data ethics algorithmic fairness AI governance knowledge discovery classification algorithms semi-supervised learning computational learning theory algorithmic design |
| gptkbp:researchFocus |
decision trees
|
| gptkbp:worksAt |
gptkb:University_of_Sydney
|