Abstract
A Web text association rule mining system is designed in the paper. It combines the association rule mining and the Web text. The systematic thinking is proposed, which processes association rule mining directly on the Web text. Obtaining the Web text, word segmentation, data cleansing, feature extraction, text data conversion and association rule mining are integrated into a single system. The system overall function structure, process, database and interface are designed. The system function is achieved. The deficiencies in processing Web text file of the previous association rule mining software are remedied. According to the experimental analysis, by using this system, the Web text association rule mining can be done, and the association rule between the words in the Web text can be found. Therefore, the speed of the search engines, and the recall ratio and precision of search can be promoted. And furthermore, it can be applied to website design and e-commerce site management.
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© 2013 Springer-Verlag London
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Zhang, D., Du, H., He, Y. (2013). A Design of Association Rule Mining System Based on the Web Text. In: Xu, J., Yasinzai, M., Lev, B. (eds) Proceedings of the Sixth International Conference on Management Science and Engineering Management. Lecture Notes in Electrical Engineering, vol 185. Springer, London. https://doi.org/10.1007/978-1-4471-4600-1_20
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DOI: https://doi.org/10.1007/978-1-4471-4600-1_20
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