Image mining: concepts and techniques

Authors

  • Diogo Floriano Santa Catarina State University, UDESC, Brazil.

DOI:

https://doi.org/10.5965/2764747104072015125

Keywords:

data mining, image mining, KDD

Abstract

The ease in storing images and the high concentration of images in databases drove the generation of applications that involved the consultation, retrieval, and analysis of these images. To extract information from an image base, algorithms are required that can be applied to a large mass of data, while classifying and finding patterns in relationships. To make image mining, as well as multimedia data, possible there is an interdisciplinarity that connects this concept, and everything about it will be covered in this article.

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Author Biography

Diogo Floriano, Santa Catarina State University, UDESC, Brazil.

Graduated in Information Systems at the Santa Catarina State University, UDESC, Brazil.

References

ADRIAANS, P.; ZANTINGE, D. Data mining. Syllogic, 1996.

GONZALES, R.C.WOODS, R.E. Processamento de imagens digitais. EdgardBlücher, 1992.

KHOSHAFIAN, S.; BAREI, A.B. Multimedia and image databases.Morgan Kaufmann, 1996.

SILVA, M. P dos Santos, NETO, G. C. Mineração de Dados em Imagens: da arquitetura à ontologia. 2003.

VAILAYA, A. Semantic classification in image databases.Teste de Doutorado, Department of Computer Science, Michigan State University, 2000

VIEIRA, E. V. Mineração de Imagens: conceitos e aplicações em sistemas de recuperação de imagens por conteúdo. Dissertação para Mestrado no Programa de Pós-Graduação em Informática, Setor de Ciências Exatas – Universidade Federal do Paraná, 2002.

ZHANG, J.; HSU, W.; LEE, M. L. Image mining: issues, frameworks and techniques. Proceedings of the 2nd International Workshop on Multimedia Data Mining.EUA, 2001.

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Published

2016-04-25

How to Cite

Floriano, D. (2016). Image mining: concepts and techniques. Revista Brasileira De Contabilidade E Gestão, 4(7), 125–129. https://doi.org/10.5965/2764747104072015125

Issue

Vol. 4 No. 7 (2015)

Section

Intern Abstracts

License

Copyright (c) 2016 Diogo Floriano

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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