Applying support vector machines and mutual information to book losses prediction
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- @InProceedings{Mora:2010:ijcnn,
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author = "A. M. Mora and L. J. Herrera and J. Urquiza and
I. Rojas and J. J. Merelo",
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title = "Applying support vector machines and mutual
information to book losses prediction",
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booktitle = "International Joint Conference on Neural Networks
(IJCNN 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, SVM",
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isbn13 = "978-1-4244-6917-8",
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DOI = "doi:10.1109/IJCNN.2010.5596710",
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size = "7 pages",
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abstract = "This work presents a feasible solution to the problem
of book losses prediction from financial and general
data in companies. The specific problem tackled in this
work corresponds to a real dataset of Spanish
companies. A Mutual Information-based criterion has
been applied in order to reduce the initial set of
variables, and a Support Vector Machine classifier has
been designed to perform the prediction. The results
show that the proposed approach obtains an important
reduction of the number of variables needed to perform
the prediction, improving the generalisation
capabilities of the model. The accuracy rates were
above the 84percent in the test set, much better than
those obtained by other soft-computing algorithms (such
as Genetic Programming, Self-Organising Maps or
Artificial Neural Networks) working with the same
dataset and presented in previous works. The proposed
approach shows to be promising and could be determinant
in providing the experts with the right tools for the
selection of the relevant factors and for the
prediction in this difficult problem.",
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notes = "WCCI 2010. Also known as \cite{5596710}",
- }
Genetic Programming entries for
Antonio M Mora Garcia
Luis Javier Herrera Maldonado
Jose Miguel Urquiza Ortiz
Ignacio Rojas Ruiz
Juan Julian Merelo
Citations