A weighted association rule mining method for Chinese inter-word matrix based on item frequency and weight
A matrix-weighted, Chinese word technology, applied in data mining, text database query, text database indexing, etc., can solve the problems of not considering the importance of the association mode, the weight of the association mode, and unable to solve the change of the item weight, so as to improve the retrieval efficiency. Performance, high application value and promotion prospects, the effect of good application value
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[0039] In order to better illustrate the technical solution of the present invention, the specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings, but this does not constitute a limitation to the protection scope of the claims of the present invention.
[0040] Such as figure 1 As shown, the weighted association rule mining method of Chinese inter-word matrix based on item frequency and weight includes the following steps:
[0041] 1. Preprocess the Chinese documents to be mined, that is, remove Chinese stop words, extract feature words and calculate their weights, and build a Chinese feature lexicon and a Chinese document index library.
[0042] The feature word weight indicates the importance of the Chinese feature word to the Chinese document where it is located. The classic and popular tf-idf feature word weight calculation method is used. The calculation formula is:
[0043]
[0044] In f...
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