Data mining

By S. Hong. 1997

How researchers see this paper

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

1. Francisco Herrera
2. R. Johnston
3. Pierre-Yves Oudeyer
4. N. Hanley
5. Kevin J. Boyle
6. Salvador Garcia
7. Frederic Kaplan
8. Roy Brouwer

Citations in the corpus

• Spatial Generalization and Aggregation of Massive Movement Data (2011, unknown): “Thus, the popular clustering algorithms “k-means” and “k-medoids” [17], [30] require that the desired number of clusters be specified as a parameter.”
• Data mining for yield enhancement in semiconductor manufacturing and an empirical study (2007, methodology): “To understand, analyze and eventually use this data, a multi-disciplinary approach called data mining has been proposed (Fu, 1997).”