Improved Algorithm Based on Item Code and Rough Intensive Reduction Algorithm in the Application of Disease of Vegetable Leaf Image Mining

Xiao Li Luo

doi:10.4028/www.scientific.net/AMM.713-715.1733

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Improved Algorithm Based on Item Code and Rough...

Improved Algorithm Based on Item Code and Rough Intensive Reduction Algorithm in the Application of Disease of Vegetable Leaf Image Mining

Abstract:

According to the low efficiency of vegetable leaf image data mining problems, proposed an improved algorithm based on Apriori algorithm to get greatly related groups. Using rough intensive set algorithm and further processing, excavated every attribute correlation of disease by reasonable divided attribute interval. conclusion shows that the most associated with the suffering degree of size and color, grayscale average.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

1733-1736

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.1733

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Online since:

January 2015

Authors:

Xiao Li Luo*

Keywords:

Association Rules, Gray Volum, Item-Code, Rough-Set

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* - Corresponding Author

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