Keila Pena-Hernandez
Artificial Intelligence · 2012
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
- Health Information Management — 5 citations into it
Whom Keila Pena-Hernandez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Keila Pena-Hernandez's perspective
Ordered by how strongly the researchers Keila Pena-Hernandez trusts endorse each paper. Same corpus, a different order for every researcher.
- C4.5: Programs for Machine Learning
- The Nature of Statistical Learning Theory
- The Strength of Weak Learnability
- Fast Algorithms for Mining Association Rules
- A Comparison of Document Clustering Techniques
- Machine learning for medical diagnosis: history, state of the art and perspective
- The WEKA data mining software: an update
- Uniqueness of medical data mining (Artif. Intell. Medicine)
- A training algorithm for optimal margin classifiers
- Mining association rules between sets of items in large databases
Their papers
- Data Mining in Healthcare and Biomedicine: A Survey of the Literature (2012) — 585 citations