Abstract
This paper studies the intellectual property information system based on content data mining and ID4 algorithm. First, data mining technology is applied to patent information analysis, such as using clustering algorithm to mine patent text, and using association rules to mine patent inventors. The system can analyze the structure of DOCDB patent data files, extract relevant patent information, and store the processed data in the database. The experimental results show that the system can efficiently process patent data and effectively improve the automation level of patent preprocessing. Use support vector machines, naive Bayes, and radial basis neural networks to classify and test patent samples.
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