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The traditional relation extraction methods require the pre-defined relation types and a corpus with human tags. The information extracted by the current open relation extraction (ORE) methods is incomplete, and the relation types are finite. To solve the above problems, we propose ClausORE, which is an n-ary ORE method for Chinese text and extracts the entities and relations between entities from...
Naive Bayes algorithm is a simple and efficient classification algorithm, but its conditional independence assumption is not always true in real life which is affected to some extent. Weighted Naive Bayesian classifier relax the conditional independence assumption to increase accuracy. Based on Identifiably matrix of Rough Set, a new weighted naive Bayes method based on attribute frequency is proposed...
The application of neural networks in the data mining has become wider and wider. Neural networks have high acceptance ability for noisy data, high accuracy and are preferable in data mining. We focus on the data mining process based on neural network. In this paper the data mining based on adaptive neural network is researched in detail, the key technology and ways to achieve the data mining based...
Decision tree is one common method used in data mining to extract predicted information. Based on Statistical Learning Theory (SLT), support vector machine(SVM) is a new kind of machine learning method that is used for classification and regression, it realizes the trade-off between empirical risk minimization(ERM) and generalization capability. SVM and decision tree have combined into one multi-class...
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