Abstract
Image mining is a development potential technology for data mining which involves in multiple disciplines, it is also a challenging field which extends traditional data mining from structured data to unstructured data such as image data. The paper introduces the concepts, mining models and mining technology related with image mining. Although these image mining techniques have not yet developed mature, not long time later, image mining has its own distinctive theoretical system.
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References
Liu, Z., Jiang, L.: The Research of Image Data Mining. Computer Engineering and Applications 39(33) (2003)
Du, L., Chen, Y., Zhu, J.: Overview of Research on Image Data Mining. Computer Applications and Software 28(2) (2011)
Yu, X., Li, M.: Models and techniques of image data mining. Journal of Clinical Rehabilitative Tissue Engineering Research 14(35) (2010)
Zhang, J., Hsu, W., Lee, M.L.: An Information-Driven Framework for Image Mining. In: Mayr, H.C., Lazanský, J., Quirchmayr, G., Vogel, P. (eds.) DEXA 2001. LNCS, vol. 2113, p. 232. Springer, Heidelberg (2001)
Zhang, J., Hsu, W., Lee, M.L.: Image Mining Issues. Frame Works, and Technique. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery&Data Mining, KDD 2001 (2001)
Datcu, M., Seidel, K.: Image Information Mining: Exploration of Image Content in Large Archives. In: IEEE Aerospace Conference Proceedings (March 2000)
Gardner, G.G., Keating, D.: Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool. British Journal of Ophthalmology (1996)
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© 2012 Springer-Verlag Berlin Heidelberg
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Cao, X., Wang, S. (2012). Research about Image Mining Technique. In: Zhao, M., Sha, J. (eds) Communications and Information Processing. Communications in Computer and Information Science, vol 288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31965-5_15
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DOI: https://doi.org/10.1007/978-3-642-31965-5_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31964-8
Online ISBN: 978-3-642-31965-5
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