22 citations · 23 across the 2 of their papers we have counts for
3 papers
General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation
Lidia Contreras-Ochando, César Ferri, José Hernández-Orallo +3
Given one or two examples, humans are good at understanding how to solve a problem independently of its domain, because they are able to detect what the problem is and to choose th…
CASP-DM: Context Aware Standard Process for Data Mining
Fernando Martínez-Plumed, Lidia Contreras-Ochando, Cèsar Ferri +5
We propose an extension of the Cross Industry Standard Process for Data Mining (CRISPDM) which addresses specific challenges of machine learning and data mining for context and mod…
Forgetting and consolidation for incremental and cumulative knowledge acquisition systems
Fernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo +1
The application of cognitive mechanisms to support knowledge acquisition is, from our point of view, crucial for making the resulting models coherent, efficient, credible, easy to…