Industrialization Research and Realization of Preprocessing in Rough Set Based on Similar Prediction

Abstract:

In every field which needs data processing, the sparseness of data is an essential problem that should be resolved, especially in movies, shopping sites. The users with the same commodity preferences makes the data evaluation valuable. Otherwise, without any evaluation of information, it will result in sparse distribution of the entire data obtained. This article introduces a collaborative filtering technology used in sparse data processing methods - project-based rating prediction algorithm, and extends it to the areas of rough set, the sparse information table processing, rough set data preprocessing sparse issues.

• Periodical: Applied Mechanics and Materials (Volume 251)
• Pages: 185-190
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.251.185
• Online since: December 2012
• Authors: Dun Hong Yao, Xiao Ning Peng, Jia He
• Keywords: Industrialization, Prediction, Preprocessing

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