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Data Mining: Prediction Methods

Chapter
Publication Date:
2019
abstract:
In this article will be introduced some classification methods, such as k-nearest-neighbor, case-based reasoning, genetic algorithms. Moreover, prediction methods will be explored, in particular referring to linear and nonlinear regression. Finally, we discuss two cases of generalized linear models: logistic and Poisson regression.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Case-based reasoning; Generalized linear models; Genetic al; k-nearest neighbor; Linear regression; Logistic regression; Nonlinear regression; Poisson regression; Prediction
List of contributors:
Rizzo, Riccardo; Urso, Alfonso; Fiannaca, Antonino; LA ROSA, Massimo
Authors of the University:
FIANNACA ANTONINO
LA ROSA MASSIMO
RIZZO RICCARDO
URSO ALFONSO
Handle:
https://iris.cnr.it/handle/20.500.14243/374376
Book title:
Encyclopedia of Bioinformatics and Computational Biology
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