Domain-Driven Actionable Knowledge Discovery in the Real World

By Longbing Cao, Chengqi Zhang. 2006

55 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Fabrizio Silvestri
2. Isabel Valera
3. Gilles Barthe
4. Amir-Hossein Karimi
5. Mounia Lalmas
6. Bernhard Schölkopf

In Information Systems

1. Fabrizio Silvestri
2. Isabel Valera
3. Gilles Barthe
4. Amir-Hossein Karimi
5. Bernhard Schölkopf

In Signal Processing

1. Fabrizio Silvestri
2. Isabel Valera
3. Gilles Barthe
4. Amir-Hossein Karimi
5. Bernhard Schölkopf
6. Arthur Gretton
7. Dominik Janzing
8. Kenji Fukumizu

Citations in the corpus

• Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking (2017, background): “present domain-driven data mining; a paradigm shi‰ from a research-centered discipline to a practical tool for actionable knowledge [4, 5].”
• A survey of algorithmic recourse: definitions, formulations, solutions, and prospects (2020, methodology): “Actionable knowledge extraction is employed in data mining to suggest “behaviors which render a state of an instance into a preferred state” [57] according to a classifier [36–38, 90, 186].”