Work

An Evaluation of Calibration Methods for Data Mining Models in Simulation Problems

Year: 2011

Type: dissertation

Abstract: Data mining is useful in making single decisions. The problem is when there are several related problems and the best local decisions do not make the best global result. We propose to calibrate each local data mining models in order to obtain accurate models, and to use simulation to merge the local models and obtain a good overall result.

Source: RiuNet (Universitat Politècnica de València)

Author: Antonio Bella Sanjuán

Language: English

Topic: Simulation Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: Ministerio de Economía y Competitividad, Ministerio de Ciencia e Innovación

OpenAlex ID: W75038004

Cites: 21

Cited by:

Related to: 10